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Emergency medicine responders meet with Becca Balint to talk rural health bottlenecks

So many of the problems EMTs deal with, providers said, catch people where they fall through the cracks of other social services.

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Oct 21 • 7:42 PM EDT • Health • vtdigger.org
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses

Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.

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Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com
Why someone paid $2.8 million for a bottle of Macallan whiskey

A staggering sum paid for a bottle of whiskey this month begs the question: what goes into the price of such high-flying booze?

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Oct 18 • 5:50 AM EDT • Business • businessinsider.com
Show us your clutter, and we’ll tell you which generation you come from

Experts say that the type of stuff you have at home — figurines, encyclopedias, old electronics, water bottles — reflects the culture of your formative years.

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Oct 18 • 5:00 AM EDT • Technology • washingtonpost.com
The Watch: Hidden PFAS Found in Bottled Drinks, Tap Water

Sports drinks and electrolyte waters contained high levels of contaminants … ED visits spike when ‘peaker’ power plants fire up … and more.

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Oct 17 • 3:05 PM EDT • Health • publichealthwatch.org
Former USC student facing felony charges seeks mental health diversion

The suspect was charged with assault involving a deadly weapon, after allegedly striking a USC professor in the face with a water bottle back in 2024.

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Oct 16 • 9:30 PM EDT • Health • uscannenbergmedia.com
FAA Unveils New Tool to Gauge Fitness to Fly

MedGuide is an online, interactive resource that enables users to search medical conditions, prescriptions drugs and over-the-counter medications to determine whether a medication is acceptable for safety-related duties and whether an initial or subsequent-dose waiting period applies.

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Oct 15 • 11:38 AM EDT • Business • nbaa.org
Inside the Circle: The bottle bill’s unfinished business

California's bottle bill turned 40 on September 29. I'm proud of the role I played in making it happen, bringing

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Oct 13 • 6:00 AM EDT • Business • resource-recycling.com
I built a family business from scratch to $200 million. Now I’ve become its bottleneck

The hardest thing to accept is that people who didn’t build this company alongside you can see things you don’t.

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Oct 13 • 3:00 AM EDT • Business • fortune.com
PDRN skin care: What the science really says about 2026’s hottest ingredient

For the second article in Cosmetics Business’ ‘Bench to bottle’ series, Rinki Pramanik investigates the science behind PDRN, and if this trending ingredient is just an attractive INCI name, or offers meaningful results

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Oct 12 • 4:33 AM EDT • Science • cosmeticsbusiness.com
Growth for Montana Global Health is an easy pill to swallow

It all begins when a client comes forward with an idea for a product. The company sources all of the raw materials, which are tested, then measured and mixed. From there, the product starts to take shape — powders are put into capsules, and drinks are bottled.

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Oct 12 • 3:05 AM EDT • Health • dailyinterlake.com
Scientists Have Developed a Breakthrough Energy Source to Fuel the First Humans on Mars

A NASA-backed experiment shows how engineered microbes can convert discarded water bottles into edible protein.

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Oct 9 • 11:25 AM EDT • Science • popularmechanics.com
Bigger Platforms, Same Bottlenecks: Why Consolidation Isn’t Expanding In-Network Care

This is an exclusive BHB+ article. I’ve sat through enough investor presentations to know the pitch: the mental health market is ripe for

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Oct 8 • 3:28 PM EDT • Business • bhbusiness.com
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Oct 8 • 11:21 AM EDT • Sports • sports.yahoo.com
The Math Singularity Is Here, and Science May Be Next

OpenAI has released an extraordinary body of mathematical work produced by an unreleased frontier model: 722 manuscripts spanning 372 research families across fields including number theory, complexity theory, and mathematical physics. Each result required, on average, the equivalent of roughly three hours of ChatGPT Pro reasoning. A New Era of Discovery We may be witnessing the beginnings of a “math singularity”: a point at which machine-generated discovery accelerates beyond humanity’s ability to independently reproduce, verify, or fully absorb it. If frontier models can generate hundreds of meaningful results in the time it takes a human researcher to investigate one, the constraint will no longer be producing new mathematics. It will be our capacity to validate, interpret, and integrate it. This does not make mathematicians obsolete. It changes their role. They may increasingly serve as guides, critics, and meaning-makers. Increasingly, they will decide which questions matter, determining which results can be trusted, and explaining why they are important. Mathematical insight may become abundant, while human judgment becomes more valuable than ever. Mathematics May Be Only the Beginning Every scientific discipline could eventually experience a similar acceleration. AI systems could generate and test hypotheses, connect findings across specialized fields, and explore possibilities at a scale no human research community could match. In medicine, imagine models identifying overlooked disease mechanisms, designing drugs and clinical trials, personalizing treatments, or discovering cures in months rather than decades. In materials science, AI could help create better batteries and cleaner industrial processes. In climate science, it could accelerate advances in energy, forecasting, and carbon removal. In biology, it could uncover relationships hidden across enormous genomic and molecular datasets. The result would not simply be faster research. It could expand the frontier of what is scientifically possible. The New Bottleneck Scientific discovery, however, is not the same as scientific progress. A medical breakthrough must still survive laboratory testing, clinical trials, regulatory scrutiny, manufacturing constraints, and real-world deployment. As machine-generated ideas multiply, the bottleneck may shift from producing breakthroughs to validating them safely and translating them into practice. We may soon have more hypotheses than laboratories can test, more drugs than clinical trials can evaluate, and more mathematical results than experts can review. That imbalance will require better systems for automated verification, reproducible research, prioritization, peer review, and collaboration between AI and domain experts. The importance of OpenAI’s work is not merely the number of manuscripts produced. It offers a glimpse of a world in which intelligence can explore thousands of intellectual paths in parallel. If ideas cease to be scarce, humanity’s defining challenge will be deciding which are true, which matter, and how to turn them into progress. The math singularity is not the end of human inquiry. It is the beginning of a new kind—one in which machines expand the frontier of knowledge and humans decide where it should lead. Subscribe Share Leave a comment

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Oct 8 • 4:22 AM EDT • Science • douglevin.substack.com
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Bottles for Brewers celebration featured names of Wisconsin cities

After winning the National League Division Series, the Brewers' postgame celebration featured a special touch on champagne bottles.

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Oct 8 • 2:38 AM EDT • Sports • sports.yahoo.com
Countries race to provide oral health care for all in 100-Day Sprint across Asia

Twenty Asian countries and areas across the WHO Western Pacific and South-East Asia regions vowed to strengthen essential oral health benefits as part of a “100-Day Sprint” initiative, during the 16th Asian Chief Dental Officers Meeting held from 27 to 29 September in Kota Kinabalu, Malaysia. The meeting marked the midpoint of the 100-day sprint bolstering support for countries to develop essential oral health benefit packages that can be integrated into national universal health coverage plans. Convened by the two WHO regional offices and the Malaysian Ministry of Health as the Secretariat, the meeting brought together national oral health leaders from 20 Asian countries, staff from all levels of WHO, WHO collaborating centres and other development partners. Participating countries and areas included: Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Hong Kong (SAR) China, India, Indonesia, Japan, Lao People’s Democratic Republic, Malaysia, Maldives, Mongolia, Nepal, the Philippines, Singapore, Sri Lanka, Thailand, Timor-Leste and Viet Nam. Participants reviewed progress and refined proposals using the WHO Service Package Delivery and Implementation (SPDI) Platform. Countries conducted bottleneck analyses across four key areas: service delivery, workforce, access to essential medicines and health products, and health financing. They identified practical actions to address implementation challenges and refined proposed revisions to their national oral health benefit packages. “There is no health without oral health. Through the 100-Day Sprint, countries are advancing the implementation of the Western Pacific regional implementation plan on oral health and strengthening progress towards universal health coverage,” noted WHO Regional Director for the Western Pacific Dr Saia Ma'u Piukala. Participants identified bottlenecks and proposed workable solutions to strengthen access to essential oral health care through primary health care, sharing experiences and discussing how best to translate policy commitments into feasible and sustainable action at the country level. Malaysian Minister of Health Datuk Seri Dr Dzulkefly Ahmad highlighted the importance of prevention and primary health-care approaches to improve oral health: “Oral diseases can have lifelong consequences, yet many are preventable. By integrating essential oral health care into primary health care and promoting prevention in schools and communities, we can improve oral health across the life course.”The WHO team led by Dr Huong Tran, Director of the Division of Health Promotion, Disease Prevention and Control of the WHO Western Pacific Region and national oral health leads from over 20 Asian countries visited the SK Pekan Putatan School, Sabah for school oral health programme including flouride mouth rinsing. © WHO / V. ChaudharyDr Huong Tran, Director of the Division of Health Promotion, Disease Prevention and Control for the WHO Western Pacific Region, emphasized key collaborative roles WHO can play. “Oral diseases are the most common noncommunicable diseases, yet many can be prevented and treated through essential oral health services delivered at the primary health-care level,” she said. “By sharing experiences and using WHO tools such as the SPDI Platform, countries are accelerating progress towards universal health coverage for oral health.” “Integrating oral health into broader health services is essential for reducing inequities, expanding access and recognizing oral health as an integral component of overall health and well-being. The 100-Day Sprint provides an important opportunity to translate this commitment into practical action and ensure that quality oral health services reach all people, especially those most in need,” said Dr Suman Rijal, Director of the WHO South-East Asia regional Department of Healthier Populations and Noncommunicable Diseases. As host of the meeting, Malaysia showcased ongoing efforts to strengthen oral health care through primary health care and prevention-focused approaches, while providing a platform for countries across the two WHO regions to exchange experiences and accelerate progress towards universal health coverage for oral health. “WHO is encouraged by Malaysia's leadership in addressing the burden of oral diseases and advancing universal health coverage for oral health through practical, country-led action,” said Dr Rabi Abeyasinghe, WHO Representative to Malaysia, Brunei Darussalam and Singapore. Countries will continue to refine and figure costs for national oral health benefits during the remaining sessions of the 100 days. These efforts support implementation of the WHO Global strategy and action plan on oral health 2023–2030, while also helping to expand access to essential oral health services through stronger and more equitable health systems across the WHO Western Pacific and South-East Asia regions.______________For more information, or to arrange media interviews, contact: WHO Regional Office for the Western Pacific: wprocom@who.int WHO Regional Office for South-East Asia: SEMediaRelations@who.int

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Oct 5 • 8:00 PM EDT • Health • who.int
Gatorade maker recalls 122,000 cases of popular sports drink across 37 US states

PepsiCo initiated class II recall of 28oz bottles last month over ‘undeclared’ yellow dyes, FDA notice says

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Oct 5 • 2:38 PM EDT • Sports • theguardian.com
Malik Willis bottled up by Minnesota

Miami Dolphins QB Malik Willis struggles in Week 4 loss

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Oct 4 • 8:16 PM EDT • Sports • sports.yahoo.com
Countries race to provide oral health care for all in 100-Day Sprint across Asia

Twenty Asian countries and areas across the WHO Western Pacific and South-East Asia regions vowed to strengthen essential oral health benefits as part of a “100-Day Sprint” initiative, during the 16th Asian Chief Dental Officers Meeting held from 27 to 29 September in Kota Kinabalu, Malaysia. The meeting marked the midpoint of the 100-day sprint bolstering support for countries to develop essential oral health benefit packages that can be integrated into national universal health coverage plans. Convened by the two WHO regional offices and the Malaysian Ministry of Health as the Secretariat, the meeting brought together national oral health leaders from 20 Asian countries, staff from all levels of WHO, WHO collaborating centres and other development partners. Participating countries and areas included: Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Hong Kong (SAR) China, India, Indonesia, Japan, Lao People’s Democratic Republic, Malaysia, Maldives, Mongolia, Nepal, the Philippines, Singapore, Sri Lanka, Thailand, Timor-Leste and Viet Nam. Participants reviewed progress and refined proposals using the WHO Service Package Delivery and Implementation (SPDI) Platform. Countries conducted bottleneck analyses across four key areas: service delivery, workforce, access to essential medicines and health products, and health financing. They identified practical actions to address implementation challenges and refined proposed revisions to their national oral health benefit packages. “There is no health without oral health. Through the 100-Day Sprint, countries are advancing the implementation of the Western Pacific regional implementation plan on oral health and strengthening progress towards universal health coverage,” noted WHO Regional Director for the Western Pacific Dr Saia Ma'u Piukala. Participants identified bottlenecks and proposed workable solutions to strengthen access to essential oral health care through primary health care, sharing experiences and discussing how best to translate policy commitments into feasible and sustainable action at the country level. Malaysian Minister of Health Datuk Seri Dr Dzulkefly Ahmad highlighted the importance of prevention and primary health-care approaches to improve oral health: “Oral diseases can have lifelong consequences, yet many are preventable. By integrating essential oral health care into primary health care and promoting prevention in schools and communities, we can improve oral health across the life course.”The WHO team led by Dr Huong Tran, Director of the Division of Health Promotion, Disease Prevention and Control of the WHO Western Pacific Region and national oral health leads from over 20 Asian countries visited the SK Pekan Putatan School, Sabah for school oral health programme including flouride mouth rinsing. © WHO / V. ChaudharyDr Huong Tran, Director of the Division of Health Promotion, Disease Prevention and Control for the WHO Western Pacific Region, emphasized key collaborative roles WHO can play. “Oral diseases are the most common noncommunicable diseases, yet many can be prevented and treated through essential oral health services delivered at the primary health-care level,” she said. “By sharing experiences and using WHO tools such as the SPDI Platform, countries are accelerating progress towards universal health coverage for oral health.” “Integrating oral health into broader health services is essential for reducing inequities, expanding access and recognizing oral health as an integral component of overall health and well-being. The 100-Day Sprint provides an important opportunity to translate this commitment into practical action and ensure that quality oral health services reach all people, especially those most in need,” said Dr Suman Rijal, Director of the WHO South-East Asia regional Department of Healthier Populations and Noncommunicable Diseases. As host of the meeting, Malaysia showcased ongoing efforts to strengthen oral health care through primary health care and prevention-focused approaches, while providing a platform for countries across the two WHO regions to exchange experiences and accelerate progress towards universal health coverage for oral health. “WHO is encouraged by Malaysia's leadership in addressing the burden of oral diseases and advancing universal health coverage for oral health through practical, country-led action,” said Dr Rabi Abeyasinghe, WHO Representative to Malaysia, Brunei Darussalam and Singapore. Countries will continue to refine and figure costs for national oral health benefits during the remaining sessions of the 100 days. These efforts support implementation of the WHO Global strategy and action plan on oral health 2023–2030, while also helping to expand access to essential oral health services through stronger and more equitable health systems across the WHO Western Pacific and South-East Asia regions.______________For more information, or to arrange media interviews, contact: WHO Regional Office for the Western Pacific: wprocom@who.int WHO Regional Office for South-East Asia: SEMediaRelations@who.int

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Oct 4 • 8:00 PM EDT • Health • who.int
Jim Cramer Likes the Nat-Gas Liquids Business and Highlights This Stock

During the episode aired on September 28, Cramer mentioned Enterprise Products Partners L.P. (NYSE:EPD), as he was highlighting the disruptions and operational bottlenecks plaguing infrastructure in the Gulf. He remarked: And I like the nat-gas liquids business, which is just crushing it in America because all the problems in the Gulf. It’s Enterprise Product Partners, […]

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Oct 3 • 4:01 PM EDT • Business • finance.yahoo.com
How Biotech AI And Robotics Bridge Bottlenecks To Impact Global Health

While biotech increasingly adopts AI for R&D, manufacturing bottlenecks constrain health innovation. AI and robotics have the potential to unlock health impact globally.

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Oct 2 • 2:33 PM EDT • Health • forbes.com
Birdbrained Science: Eco-friendly has never tasted so good

It’s an unspoken debate as old as time: glass, aluminum or plastic? Which material makes the best bottle?

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Oct 2 • 6:00 AM EDT • Science • dailycampus.com
The AI Shift: Is AI supercharging science?

Productivity gains in analysis are getting stuck in physical-world bottlenecks

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Oct 1 • 7:30 AM EDT • Science • ft.com
New Quantum Algorithm Targets Bottleneck in Fluid-Flow Modeling

Oak Ridge National Laboratory researchers developed LuGo, a quantum algorithm that reduced quantum gate requirements by more than 95%.

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Sep 30 • 4:23 AM EDT • Science • thequantuminsider.com
Christina Aguilera continues her European vacation and pops bottles and dances on a boat

Christina Aguilera dances on a yacht in Portofino, Italy, as fans ask for new music. The singer recently teased an album and documentary in the works.

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Sep 29 • 11:47 PM EDT • Entertainment • yahoo.com
U of A researchers team up to take on major health challenges

Four interdisciplinary U of A-Banner Health teams will receive up to $250,000 each to advance promising health research in cancer detection, lymphoma diagnostics, wound care and chronic pain.

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Sep 29 • 8:45 PM EDT • Health • news.arizona.edu
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Department of Health: Segregated rate revision to change how redemption centers pay for recycled bottles and cans

Hawaiʻi’s Deposit Beverage Container Program will change how redemption centers convert container weight into container counts starting Oct. 1, the state Department of Health announced.

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Sep 29 • 11:09 AM EDT • Health • mauinow.com
Detroit and Flint teens struggle with mental health – and worried adults around them feel ‘helpless’

Crystal Cederna, Michigan State University Teens in southeast Michigan go to school carrying with them far more than backpacks, books and water bottles. Many are shouldering economic hardship, exposure to adversity and discrimination, family responsibilities, uncertainty about the future and social pressures. These sentiments were shared with our research teams repeatedly during focus groups we […]

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Sep 28 • 1:30 PM EDT • Health • michiganadvance.com
Our bodies react to microplastics in a way scientists never expected - Futura-Sciences

When Microplastics Go Straight to the Lungs Microplastics: the word alone might send your mind racing through images of floating trash islands or bottles bobbing in rivers. It’s now a scientific fact that microplastics are omnipresent in our environment. But while their presence is undeniable, much remains to be understood—especially...

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Sep 27 • 7:00 PM EDT • Science • futura-sciences.com
In 1879 a scientist buried bottles filled with seeds. Every 20 years, one is dug up and studied.

A botanist buried 20 bottles of seeds in 1879 to test how long they'd survive, and the experiment is still running today.

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Sep 27 • 5:31 PM EDT • Science • yahoo.com
Intel Panther Lake Teardown, 18A, BSPD, GAAFET, SemiAnalysis STEEL

Panther Lake debuts the first commercial implementation of backside power delivery (BSPDN), introduces Intel’s first iteration of gate-all-around (GAA) transistors, and showcases their advanced packaging capabilities with its Foveros-S assembly. With Panther Lake, Intel’s manufacturing arc has shifted from nebulous roadmaps to shipped silicon, a significant milestone on their long road back to competitive semiconductor manufacturing. To evaluate the extent of Intel’s comeback, we tore down Panther Lake. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Our teardown traces 18A from its four-sheet RibbonFETs (Intel’s marketing name for GAAFETs) and gate stacks through contacts, frontside and backside wiring, and the bonded carrier. We explain how these material and integration choices improve gate control and reduce resistance, while adding capacitance, thermal resistance, and process complexity. Our measurements put Panther Lake’s 18A compute logic and TSMC N3E GPU logic at similar logic density. However, 18A does not lead TSMC N3P, N2 or Samsung SF2 in peak density. Panther Lake’s CPU cores are incremental updates, and the high-end GPU still uses TSMC N3E. Panther Lake assembles one compute tile, one GPU tile, and one I/O tile atop a passive base tile using Intel’s Foveros-S advanced packaging. Both compute tile variants use Intel 18A. The Xe3 GPU options are a 4-core GT1 tile on Intel 3 and a larger 12-core GT2 tile on TSMC N3E. Both I/O tile variants use TSMC N6. [1], [2] Our analysis centers on the PTL-U compute tile, both the 4-core and 12-core GPU tiles, as well as the 12-lane I/O tile. In conventional chips, power and signal are routed through the same frontside metal stack towards the device frontend. Power rails consume scarce routing resources near the transistors, while tall via stacks carry VDD and VSS from the coarse upper wires to local rails. Backside power delivery (BSPD) moves the main power network behind the transistor layer, to the backside, separating it from frontside signal routing. We covered BSPD and its impacts in 2024. [3], [4], [5] Intel’s BSPD implementation, branded as “PowerVia”, routes power through dedicated backside metals to nano-TSVs, which connect those rails to local source/drain (S/D) contacts. Implementing that separation requires Intel to build the interconnect stacks from both sides of the wafer. The frontside comprises the M0-M14 signal stack, while the backside comprises the BM0-BM5 power stack. M0 and BM0 are closest to the transistors. The nano-TSVs connect the two sides, but Intel patterns and etches each via from the front after forming the contacts. A narrow via runs from the side of the contact deep into the silicon substrate. Intel then completes the frontside signal metal stack, bonds the wafer to a carrier, flips it and removes the original substrate until the buried via tips are exposed. The backside metal stack is then deposited directly on the revealed vias. The nano-TSV and backside-via profiles taper in opposite directions because Intel forms them from opposite sides of the wafer. The transistor structures form the FEOL. Local contacts and nano-TSVs connect them to the wiring. M0 begins the frontside interconnect stack. The silicon carrier remains attached above the frontside interconnects. It supports the device wafer during substrate removal and backside processing and remains part of the finished chip’s thermal path. PowerVia removes the main power distribution from the congested frontside metals, routing supply through shorter and wider backside wires. Its lateral landing still occupies area in the standard cell, so it recovers less cell area than a direct backside contact. [3] Nano-TSVs beside the logic devices carry VDD or VSS from the backside power network, while signal connections continue upward through the frontside metals. Backside Interconnects Samsung SF2 data is included for comparison to Panther Lake’s within this article. SF2 is the incumbent GAA foundry node but lacks BSPD, serving as a useful reference to evaluate 18A. A full teardown of Samsung’s S26 products, processed on SF2, will be shared soon.Nanosheet-cut EDS comparison. The PowerVia supply path runs from the backside Cu rails through Mo-lined W nano-TSVs to the local transistor contacts. In this cross section, the tapered connection spans roughly 150 nm from the contact level to BM0. The Ta liner confines Cu and promotes adhesion to the surrounding stack; the AlOₓ etch stop controls the next dielectric etch above the rail. Dielectric beneath the ribbons electrically separates the devices from the backside wiring and removes the conducting silicon body below the channel. [6] AlOₓ serves as an etchstop (ES), enabling endpointing and protecting the underlying layers. Low-volatility aluminum fluoride reaction products resist the fluorinated plasma, allowing a thin AlOₓ film to protect the metal while the surrounding low-k dielectric is removed. [6], [7]. While the BM0 and layers above the M1 lines show double AlOx layers, Our SMIC N+3 teardown showed single AlOₓ layers. SMIC uses a simpler local AlOₓ substack, while the remaining cap and etch sequence provide the required landing protection. So why double layers? The closely spaced AlOₓ doublets provide two protected endpoints in the etch sequence. Intel documents an AlOₓ/SiN/AlOₓ stack that explains the benefit. The main dielectric plasma etch stops on the first AlOₓ film; a selective wet clear opens that film; a second plasma etch removes the intermediate SiN and stops on the second AlOₓ film. The final wet clear exposes the metal landing surface. SiN is the intermediate dielectric in Intel’s published example. [8] The second stop protects the metal through a cap breakthrough. Wide openings can etch faster than narrow ones, and etch depth varies across the wafer. Metal under an early-clearing opening would otherwise be exposed while other openings still need more etching. Staged protection widens the process window and reduces metal erosion, corrosion and void formation. [8] TSMC documents AlN/AlOₓ/SiOC/AlOₓ above Cu, with AlN blocking Cu diffusion, and a simpler AlN/SiOC/AlOₓ variant that omits one AlOx film. [9] Levels with different opening sizes, aspect ratios, pattern densities and cap materials need different etch margins. A double AlOx stop is useful where another protected endpoint justifies the added processing. The extra film adds formation, selective opening and cleaning steps, plus another set of interfaces to control adhesion, moisture, and stress. These blanket films are opened through the existing via pattern, so each film does not require another lithography mask. AlOₓ adds parasitic capacitance when it replaces lower-k dielectric; two thin AlOₓ films can nevertheless contain less AlOₓ than one thick film. Total thickness, placement, and theintermediate dielectric determine the electrical cost. Deposition chemistry also changes AlOx permittivity and residual hydroxyl content, which can oxidize the underlying metal. [7], [8], [10], [11] The backside stack separates into relatively fine BM0-BM2 wiring near the devices and coarser BM3-BM5 power distribution. The largest pitch increase occurs between BM2 and BM3. BM0’s pitch closely matches the logic-row height, fitting local power delivery to the cell rows. Higher levels aggregate current through larger conductors: routing density becomes less important than low resistance and current capacity as the network approaches the package. This hierarchy provides wide power wiring for the power delivery network without consuming scarce frontside signal-routing resources. [3] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Frontside Interconnects Intel 18A combines Mo-lined W contacts and nano-TSVs with a separate backside Cu power network. Samsung SF2 keeps power on the frontside, using Ti-based contact interfaces and Ta-based barriers and Co liners around Cu wiring. In 18A standard-cell rows, backside power rails supply the devices through nano-TSVs within the cells, freeing frontside routing resources. Samsung’s M0 accommodates both power and signal connections. From the device toward M0, the connection runs through a Ti-based S/D interface, W contact fill, a Mo-lined W via, and the Cu M0 wire. Mo supplies a conductive nucleation and adhesion layer for W, replacing the resistive TiN liner used in conventional W integration. This increases the effective conduction volume within the feature while retaining W fill and its established polishing, cleaning and etching processes. Intel’s Mo/W patent describes this integration tradeoff. The nano-TSV uses the same Mo-lined W construction in the backside supply path. [12] The move from TiN to Mo is an incremental change. While a full Co or Mo fill can also reduce the volume lost to liners in very small features, it requires new integration schemes that increase complexity and risk. Cu remains attractive for wider wires due to its low resistance. As wires and vias shrink, the diffusion barrier consumes an increasing fraction of their cross-section. [12], [12], [14] Intel uses Co/Ru liners at M0-M1, Co at M2-M4, and Nb at M5-M9. The lower-level liners help Cu adhere and reduce void formation during trench fills. Applied Materials’ Endura has new thermal control that facilitate wetting process, so the thin film continuity is good enough that good capillary pressure will drive Cu atoms to the via bottom without voiding. Intel’s choice to use Nb is particularly interesting. Intel’s Nb patent describes a conductive diffusion barrier intended to reduce the barrier’s contribution to resistance relative to conventional Ta-based barriers, particularly at via bottoms where all current crosses the barrier. The patent pairs Nb in coarser levels with the option of lower-cost PVD processing. [15], [16] The upper metal layers support thicker barriers formed through physical vapor deposition (PVD) despite its worse coverage and uniformity. Meanwhile, the lower metal layers require thinner barriers deposited through conformal atomic layer deposition (ALD). Co/Ru adds another material interface and requires controlled deposition and Cu fill. Changing liners and barriers by metal layer allows Intel to optimize interconnect resistance, process complexity, and reliability. [15, 16] RibbonFET, Intel’s name for its gate-all-around FETs (GAAFETs), replaces the FinFET’s vertical fins with four stacked horizontal silicon nanosheets, allowing the gate to surround the channel on every side. The path to GAAFET begins with the planar transistor. A planar MOSFET places the gate above the channel between its source and drain. Pairing an NMOS with a PMOS transistor creates a CMOS inverter, in which the NMOS pulls the output low for a high input, and the PMOS pulls it high for a low input. The gate must retain electrostatic control of the channel to ensure clean switching. As gate lengths shrank, the drain began to compete with the gate for that control, increasing off-state leakage. Electrostatic control was restored through an architectural evolution that raised the channel into a vertical fin and wrapping the gate around three sides. Called “FinFET”, this new architecture packed more effective channel width into a smaller footprint. Further scaling made it harder to maintain both drive current and leakage within smaller cells, and reintroduced the same problems planar MOSFETs faced. Nanosheet GAAFETs close the fourth side by replacing the vertical fin with a stack of horizontal nanosheets, each surrounded by the gate. The tighter electrostatic control suppresses leakage at shorter gate lengths while stacking adds effective channel width within the cell footprint. In a FinFET process, channel width changes in discrete steps as designers must add or remove whole fins. Nanosheet width can instead be adjusted continuously within the process’s design rules. Wider sheets increase drive current, while narrower sheets reduce capacitance at the cost of drive current. Intel 18A uses stacks of four nanosheets each and varies their widths across logic and SRAM. At the process level, adding more sheets to each stack increases effective channel width and drive current, but complicates fabrication. RibbonFET vs MBCFET Samsung began GAAFET production in 2022 with SF3E, following with SF3 and now SF2. Its ‘MBCFET’ provides a useful structural comparison with Intel’s first RibbonFET implementation. [17] STEEL is digging deeper into SF2, used in the Exynos 2600, and TSMC’s GAAFET N2, used in Apple’s A20 Pro, in upcoming newsletter articles. We’re throwing some teasers on X. Let’s compare Samsung SF2’s MBCFET with Intel 18A’s RibbonFET. Subscribe Even to the untrained eye, Intel’s extra nanosheet is obvious. Intel stacks four ribbons to Samsung’s three. Samsung’s sheets are much wider in these fields, so both sheet count and width matter to the available channel perimeter. Sheet width also changes which silicon surfaces carry current. On conventional (001) silicon, wide nanosheets emphasize the broad top and bottom surfaces, favoring electron transport; the larger sidewall contribution in a narrow sheet favors hole transport. Thinner sheets improve gate control but increase confinement and scattering. This makes width and thickness part of the NMOS/PMOS balance, alongside strain and threshold voltage. [18], [19] GAAFET designs like 18A use different work-function-metal (WFM) stacks for NMOS and PMOS. Around each ribbon, a thin SiOx interfacial layer separates the silicon channel from the HfOx high-k dielectric, with La providing dipole tuning and the WFM wrapping the dielectric. NMOS uses a TiAl-based stack, while PMOS uses TiN WFM. W fills the remaining gate trench, providing a lower-resistivity path where the work-function layers are no longer needed. In this field, the PMOS stacks leave room for W between ribbons, while the NMOS stacks occupy more of those gaps. A silicon-based dielectric marks the P/N boundary, allowing the PMOS and NMOS gates, sharing the same gate trench, to be processed sequentially. Fast logic paths, retention circuits, and SRAM need a family of threshold options. Changing threshold without substantially changing device dimensions, capacitance or fabrication complexity is valuable. FinFET processes typically use different work-function-metal stacks. In a four-ribbon GAA stack, the narrow sheet-to-sheet gap limits how much WFM can fit around each channel. La in the gate dielectric creates interfacial dipoles at the SiOx/HfOx boundary, shifting effective work function and tuning threshold voltage. This gives Intel another control alongside its NMOS and PMOS WFM stacks. Low-threshold devices improve critical-path drive; higher thresholds reduce leakage elsewhere. Dipole tuning is especially useful in GAA because it changes threshold without consuming the narrow intersheet gap with thicker WFM. Precise control of La incorporation, diffusion and interface quality has long been a challenge, limiting viability in high volume production but is now seen from every leading-edge foundry. Intel’s patent describes depositing a dipole-forming oxide above HfOx and annealing it toward the interfacial oxide before completing the work-function and fill metals. This separates threshold tuning from the space available for metal. Newer research addresses the thermal cost: imec’s 2026 dipole-middle research inserts the shifter between two HfOx depositions, shortening the diffusion path while protecting SiOx during patterning. [20], [21]Matched-cut EDS, Intel 18A (left) vs. Samsung SF2 (right). Intel retains raised source/drain epi beneath its contacts, while Samsung recesses W deep into the epi to form a V-shaped Ti-lined interface. The deeper contact increases metal-to-semiconductor area and shortens the current path from the lower sheets, reducing contact and spreading resistance. It also removes epi volume and brings the contact etch closer to the channel ends. Retaining more epi preserves the material available for strain transfer, especially from SiGe into PMOS. These geometries balance contact access against stress engineering and etch margin. [22], [23] Samsung stacks three sheets to Intel’s four ribbons, and both processes use sheet width to tune drive strength. In our Samsung cross-sections, widths range roughly from 19 to 30 nm in the NPU rows and 37 to 50 nm in the CU cell. The Samsung nanosheets taper, with the widest sheet at the bottom and the narrowest at the top. Both processes use HfOx gate dielectric and Ti-based work-function stacks, with Al in the NMOS stack. In the Samsung devices shown here, the dielectric and WFM occupy the intersheet gaps, leaving W above the top sheet. Intel’s PMOS stack leaves more room between ribbons, and W fills those gaps while the thicker NMOS stack leaves W mainly in the upper trench. Gate-stack EDS maps. The W between Intel’s PMOS ribbons provides a conductive path close to the lower gates. Where WFM fills the entire gap, the gate still surrounds the channel, but voltage reaches it through the more resistive work-function films. Thinner WFM and dipole tuning preserve room for low-resistivity fill; Mo and Ru are alternative fill metals being developed for further scaling. [24] A masked, sequential WFM flow explains the different gate heights and inter-nanosheet fill. The proposed sequence below shows how separate NMOS and PMOS work-function steps produce that geometry. Enabled by the BSPDN process, Intel replaces the dense-logic silicon subfin with dielectric, removing the parasitic conduction path below the ribbons and reducing substrate-related capacitance. A retained silicon body as in classical, non-SOI, planar and FinFET designs needs junction and punchthrough-stop engineering to suppress leakage. Dielectric isolation makes that leakage less sensitive to the subfin doping profile but adds removal and fill steps. It also weakens the direct thermal path through silicon, making the contacts, metal stacks and package more important for heat extraction. [24], [26] Fluorine is concentrated around selected Intel device structures in the maps. WF6 is a standard precursor for W nucleation and fill, while barrier films protect adjacent dielectrics from fluorine attack. Low-fluorine W processes reduce the residual-F burden. Chloride-based precursors avoid introducing F during W deposition, but require control of chlorine attack, nucleation and fill quality. The integration target is a continuous, low-resistance W path with a thin protective liner and minimal chemical damage to the surrounding stack. [20], [27], [28] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. We measured cell height, gate pitch, metal geometry, and ribbon dimensions at the XTEM sites shown below. The tables group these dimensions by site and device polarity. Our “sheet cuts” cross the silicon channel and show the ribbons end-on. “gate cuts” run along the channel through successive gates. The 18A logic cell dimensions point to a five-track logic library while the N3E and Intel 3 cell dimensions evidence a seven-track logic library. The DDR-PHY uses wider M0 wires and much larger spacing than core logic. That trades routing density for lower wire resistance and weaker coupling between neighboring nets. The geometry suits the current delivery and coupling requirements of analog, clock, and I/O circuitry. PowerVia lets 18A combine a compact cell height with wider M0 geometry by moving the main power rails off the signal-routing tracks. That relaxes local wire scaling while preserving a small cell footprint. Cell height and gate pitch set the geometric density; pin access and routability determine how much of it a real block can use. [29] The biggest takeaway from our gate-pitch measurements is that Intel 18A compute logic and TSMC N3E GPU logic have similar density in the Bohr representative-cell model. The 18A example is 18.6% denser than the Intel 3 GPU example. Gate pitches are nearly identical across the three sites, so cell height drives most of the difference. The Bohr model combines a four-transistor NAND2 spanning three gate pitches and a 32-transistor scan flip-flop (SFF) spanning nineteen pitches, weighting their densities 60:40. The sensitivity column shows how independently changing cell height and gate pitch by ±1 nm changes the result. This compares representative cell geometries; whole-die density also depends on cell mix and placement. The 18A P-core gives M0 substantially more metal cross section than the N3E vector engine. Treating each profile as a trapezoid gives 2.63 times the area per line and 1.84 times the area after normalization by routing pitch. The larger section reduces the geometric contribution to line resistance and lowers current density for a given current. Taller and wider wires also add capacitance, so circuit delay depends on the balance of resistance and capacitance. The DDR-PHY has less metal area per routing width than the 18A core fields, while remaining above N3E. [30] Area = height × (top CD + bottom CD) / 2, including liners. Area/pitch normalizes by routing width. Taper is the symmetric sidewall angle from vertical, with the largest angle belonging to the DDR-PHY. Compute tile The measurements show how ribbon dimensions and gate-stack geometry vary across the compute tile and between NMOS and PMOS to balance channel drive, gate load and the space needed for the dielectric/WFM stack across logic, SRAM and the DDR-PHY. Width mainly changes available channel perimeter; thickness also changes electrostatic control and carrier confinement. Gate-stack thickness then determines the space left for low-resistivity fill P-core and LP E-core logic Both the P-core and LP E-core use multiple nanosheet widths. Widths are measured on high-magnification XTEMs while wider-field images demonstrate additional width choices within the LP E-core. Multiple widths are expected even within an LP E-core. Timing-critical paths, buffers and cells with different fanout need different drive strengths. The lower-magnification fields show this width diversity beyond the sites quantified in the table. L2 and L3 SRAM GAA gives SRAM designers another way to balance the pull-up (PU), pass-gate (PG), and pull-down (PD) transistors. FinFET bitcells set device strength through fin count while GAA adds nanosheet width as a sizing knob. In a 6T SRAM cell, a strong pull-down relative to the pass-gate limits read disturbance, while a strong pass-gate relative to the pull-up improves writability. During a write, the pass-gate and write driver pull the node storing “1” below the inverter trip point. During a read, the pull-down holds the node storing “0” low. Bias, threshold voltage, mismatch and assist circuitry set the remaining margin. FinFET high-current cells commonly use a PU:PG:PD fin-count pattern of 1:2:2, a device-sizing ratio rather than a current ratio. Ribbon width lets Intel balance SRAM strengths without adding whole fins. The L2 cell uses its narrowest ribbons for PU and widest for PD, improving writability and read stability respectively. Intel’s disclosed HCC operates without assist; its denser HDC uses negative-bitline write assist. Pulling the selected bitline briefly below ground increases pass-gate overdrive so it can overpower the pull-up at lower supply voltage. That buys density and low voltage writability at the cost of boosting circuitry, switching energy, and additional voltage stress that must be controlled. [31], [32] Four rectangular ribbons give the perimeter = 8 × (width + thickness), before corner rounding. PG/PU is 1.49 and PD/PG is 1.16. The L3 structures closely resemble L2 in layout and cell height. Fewer L3 nanosheet widths are tabulated because fewer high-magnification images were available. DDR PHY The DDR-PHY trades density for controlled analog behavior and reliable off-chip signaling. It contains drivers, receivers, delay circuits, and calibration logic that set drive strength, sampling time, and voltage margin. Repeated four-sheet devices with similar widths fit the use of regular transistor units for matching and programmable drive. Its wider local wiring provides room for current delivery and separation of sensitive signals, while consuming more area than a dense core-logic grid. The layout serves the memory channel’s electrical requirements as well as digital logic density. [33] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Intel 3 GPU devices Vector engine logic Intel 3’s XVE logic uses two-fin PMOS and NMOS devices with power rails in M0. Its cell height and M0 pitch give a seven-track geometry, two tracks more than the 18A logic. One-fin groups also appear among the two-fin devices. Intel 3 L2 SRAM The Intel 3 L2 SRAM uses the familiar HCC sizing pattern: one PU fin, two PG fins, and two PD fins. N3E GPU devices Vector engine logic The N3E XVE field contains repeated two-fin devices with seven-track cell geometry. N3E remains a FinFET process, giving Panther Lake a direct FinFET-to-RibbonFET comparison. N3E L2 SRAM The N3E L2 SRAM uses the same PU:PG:PD fin-count pattern of 1:2:2. Panther Lake-U follows Lunar Lake’s floorplan quite closely. Both pair 4 P-cores with 4 LP E-cores and NPU, media and display engines in similar locations. Lunar Lake also uses Xe2, the direct predecessor to Panther Lake’s Xe3 GPU. This makes Lunar Lake the most direct basis for our comparisons. Arrow Lake differs in core count and uses the older Xe-LPG GPU architecture, so we only use it where it offers a more direct component-level comparison. Compute tile Panther Lake compute-tile floorplans remain sparse even months after launch. Intel 18A’s backside metal and dielectric stack must be removed without damaging the underlying structures before a clean transistor-level floorplan can be imaged. Most published die shots hide or heavily process the background, but we are quite proud of the die shot we achieved and are excited to show the work we have done. We measured the areas of the key components on the compute tile and compared them with their Lunar Lake predecessors on TSMC N3B. These help us to capture changes in block area and compare the two chips across process nodes and designs. Our total tile areas exclude the scribe-line area. The compute-plus-GPU subtotal below uses the PTL-U compute tile and GT1 GPU; it excludes the I/O tile and passive base. Individual block areas use the boundaries marked on the floorplans The compute-plus-GPU row is recomputed from the displayed PTL-U and GT1 areas. Component rows use their stated per-region counts and are not an additive partition of the whole tile. The P-core area remains almost unchanged between Lunar Lake and Panther Lake, despite L2 capacity increasing from 2.5 MiB to 3 MiB. Arrow Lake uses the same Lion Cove core as Lunar Lake but also has a 3 MiB L2. Cougar Cove fits 20% more L2 into the same P-core area. The larger private cache keeps more of each core’s working set close to its execution units, reducing access to shared L3 and DRAM. Extra capacity adds storage leakage and lookup energy, so designers balance it against avoided lower-level accesses. The shared P-core L3 cache also shrank by 14.8%. [2] Cougar Cove combines a similar footprint with Intel’s reported power-efficiency improvements. RibbonFET’s tighter channel control reduces leakage, while PowerVia reduces supply droop and allows tighter voltage guardbands. [1] Darkmont’s four-core LP E-core cluster is 5.0% smaller than Skymont’s on Lunar Lake, with most of the reduction in its L2 regions. The 1 MiB region shrank by 8.4% and the 1.5 MiB region by 14.9%. The tag arrays also use one fewer visible row. Tags identify which memory addresses the data array holds, so rearranging them changes the cache’s layout and wiring without requiring less data capacity. [2] The LP E-cores share one L2. This pools capacity and avoids duplicating all the cache machinery, but the four cores contend for its banks and bandwidth. Their separate cluster also keeps light work away from the performance cluster and its L3, allowing that larger domain to sleep. [1], [2] Cache area includes more than the storage cells. Tags identify each line, decoders select rows, sense amplifiers read the small bitline signal, and wires connect to the banks. Splitting an array into smaller sections shortens wordlines and bitlines, improving access speed, but duplicates peripheral circuits. Panther Lake’s smaller cache regions therefore reflect the complete memory implementation, including how much of each region is devoted to storage. [34] Unlike Meteor Lake and Arrow Lake, Panther Lake has no separate SoC tile. The NPU, LP E-cores, memory controllers, PHYs, media and display engines now share the compute tile. This removes an active die and keeps CPU memory traffic on one die. The cost is moving PHY and I/O-related circuitry onto 18A: drivers, receivers and analog circuits must still meet external voltage, loading and signal-integrity requirements, so their area does not shrink like dense digital logic. [1], [2] The biggest shrink comes from the NPU, which occupies 36.9% less area. NPU 5 consolidates the same total INT8 MAC count into half as many neural compute engines. Each of the three NCEs has a larger MAC array to make the complete NCE envelope 22.6% larger than an NPU 4 engine. Consolidation also halves the number of scratchpads and SHAVE DSPs, from 12 to 6. The MAC array handles matrix multiplication and convolution, while SHAVE executes vector and custom operations that fit the array poorly. [1], [2], [35] The paired floorplans identify each NCE envelope and its scratchpad, MAC, and SHAVE regions. Each measured MAC polygon is counted once per NCE in the area accounting below. The scratchpads store weights, activations, and intermediate results near the MAC arrays, allowing repeated use without fetching them again from DRAM. Halving their number delivers the largest measured area saving but leaves less local storage for the same total MAC count. Layers that no longer fit locally require smaller working tiles or more transfers of intermediate data. The benefit depends on keeping the enlarged arrays busy while managing that tighter storage budget. [36] NPU 5 also adds native FP8. Using half the operand width of FP16 reduces storage and transfer demand, helping workloads fit the smaller local memory budget. Lower precision and format-dependent range make scaling and model validation part of deployment. Hardware activation functions further reduce work that would otherwise occupy the programmable DSPs. [1], [2] Microsoft requires an NPU to deliver at least 40 TOPS for Copilot+ PCs. Both Lunar Lake and Panther Lake meet this threshold, but Panther Lake uses significantly less silicon. GPU tiles Panther Lake is Intel’s first product with Xe3, its latest GPU architecture. It offers two different GPU tiles: a smaller GT1 tile with 4 Xe3 cores on Intel 3 and a larger GT2 tile with 12 Xe3 cores on TSMC N3E. Panther Lake allows us to compare the same GPU architecture across both Intel 3 and TSMC N3E. Wildcat Lake adds a third Xe3 implementation on Intel 18A. A future newsletter will detail Xe3 and its implementation differences across all three process nodes. GT2 scales Xe3 to a different physical layout, with render slices arranged vertically instead of GT1’s horizontal arrangement. Slice placement sets the distances to shared cache banks and the D2D interface. Those wires consume area and add delay, so scaling the number of Xe cores also requires a new balance of cache placement, routing and timing. [1] What’s immediately obvious is that the GT2 tile on TSMC N3E has much smaller Xe cores than GT1. These block areas include logic, caches, and routing. An Xe core on the GT1 tile is ~69% larger than one on Lunar Lake, and ~55% larger than one on GT2. Intel 3 therefore uses substantially more area per Xe core. The block-area gap exceeds the measured logic and SRAM density gaps, bringing routing, timing targets, cell mix, and floorplan allocation into the comparison. The measured vector/matrix engine region is almost unchanged between Lunar Lake and Panther Lake’s GT2 tile. Xe3 retains eight 512-bit vector engines and eight 2048-bit XMX engines per core. Its gains also come from feeding those engines more effectively: more resident threads hide stalls, and variable register allocation lets shaders trade registers per thread against the number of threads kept active. [1] The shared L1/SLM capacity increased by 33% from 192 KiB to 256 KiB, while its area increased only 5%, raising effective density by 27%. L1 retains reused cache lines, while software-managed SLM lets a thread group share data locally. Both reduce traffic to more distant memory. Allocating more SLM per group can also limit how many groups reside on a core at once. [1], [37] The GT1 tile carries 4 MiB of L2 against 16 MiB on the GT2 tile. GT1 divides its L2 cache into four 1 MiB banks, while GT2 uses eight 2 MiB banks. Each bank contains 128 macros, but each N3E macro stores 16 KiB, twice the Intel 3 macro’s 8 KiB capacity. The N3E macro is only 54% larger while holding twice as many bits, giving it 30% higher density: ~23.7 Mbit/mm² versus 18.3 Mbit/mm². Including bank-level circuitry, the gap widens to ~16.9 Mbit/mm² on GT2 versus ~10.4 Mbit/mm² on GT1. GT2 gains density with its macros storing more bits per unit area, and those macros occupy more of each cache bank. Larger macros spread decoder and sense-amplifier overhead across more storage, while a more compact bank layout reduces the share spent on control and routing. The compromise is longer wordlines and bitlines that carry more capacitance. [34] I/O tile Panther Lake uses two I/O tile variants, both fabricated on TSMC N6. The smaller one provides 4 PCIe 5.0 and 8 PCIe 4.0 lanes and serves lower-tier systems as well as those without a discrete GPU, while the larger one adds 8 PCIe 5.0 lanes, bringing the total to 20 lanes, for discrete-GPU connectivity. Panther Lake SKUs with the larger 10- or 12-Xe GPUs use the smaller I/O tile. [38] The smaller I/O tile adds a PCIe 4.0 block and a Thunderbolt block to Lunar Lake’s I/O layout, providing four additional PCIe 4.0 lanes and another Thunderbolt 4 port. Its repeated N6 blocks retain nearly identical areas and layouts. Reusing these proven PHYs and controllers avoids porting and requalifying external interfaces on 18A, where faster digital logic offers less benefit to circuits constrained by the off-chip link. [38] SemiAnalysis’s teardown lab (STEEL) dives deep into the world’s advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. We’re hiring technical experts from system to transistor and everywhere in between. Check out our Careers page. Panther Lake offers scalability and modularity through its disaggregated packaging that partition compute, GPU, and I/O silicon into separate tiles allowing for a suite of tile configurations. This partitioning makes the package part of Intel’s node economics as it determines how much leading-edge wafer area each product consumes, which functions can remain on other processes, and how much configuration freedom Intel can offer from a shared set of tiles. Furthermore, fabricating the compute and GPU tiles separately confines the new 18A process to the compute tile and allows graphics and I/O to use other, more established, and more cost-effective processes. For Panther Lake, the GPU and I/O tiles are assembled alongside the compute tile on a passive silicon base using Foveros-S. Intel’s current technology brief lists a nominal 36 µm pitch for Foveros-S. Through-silicon vias (TSVs) in the base connect the fine wiring above to the larger package connections below. The functional tiles sit side by side on that passive base in a 2.5D configuration. [39] Our cross-section through the compute and GPU tiles shows the package’s wiring hierarchy. Microbumps connect each active tile to the passive silicon base; its fine redistribution layer (RDL) carries the short, dense tile-to-tile links. TSVs carry connections through the base to the package substrate, which fans them out to the much coarser motherboard solder joints. The base supplies interconnect, while computation remains in the active tiles above it. [39] At the compute-tile edge, the higher-magnification inset shows a local microbump spacing of approximately 25.24 µm and a feature width of 12.33 µm. These local spacings are finer than Intel’s nominal Foveros-S value. The X-ray fields further confirm tighter neighboring bumps, consistent across every die-to-die area found on each tile. Additional X-ray analysis is offered after the paywall. Putting the memory controller beside the CPU removes the D2D transfer that CPU memory requests required in Meteor Lake and Arrow Lake. This avoids the extra transmitter, receiver, and link traversal, saving interface energy and latency. Panther Lake’s separate GPU still crosses a D2D link to reach DRAM, so its larger local caches also help contain package traffic. [1], [40] Smaller dies are less likely to contain a random fatal defect, and screening them before assembly prevents one bad tile from consuming a complete package of good silicon. Reuse also spreads design and qualification work across more products. Against those gains, Intel pays for the passive base, D2D circuits, extra bonding and test steps, and losses during assembly. Cost per working product across the portfolio captures the combined effect of wafer yield, reuse, test, and assembly. [29] Wildcat Lake packaging Intel launched Core Series 3, formerly Wildcat Lake, on 16 April 2026 for value mobile and edge systems. Wildcat Lake keeps 18A but removes the passive base and combines more functions on one die to simplify the package. The two products therefore reveal two distinct ways to commercialize the same leading-edge process. [41] Wildcat Lake’s 18A die combines up to two Cougar Cove P-cores, four Darkmont LP E-cores, two Xe3 cores and a smaller NPU. A separate platform-controller die supplies I/O, connected through UCIe, Intel’s first processor implementation of the standard. Consolidating graphics remove a tile boundary and the passive base, reducing assembly complexity for a modest-bandwidth value product. It also ties CPU and graphics scaling to the same die, giving up Panther Lake’s ability to swap in a much larger GPU. [42], [43] In July 2021, Intel CEO Pat Gelsinger set out an ambitious process roadmap aimed at regaining performance leadership by 2025, later described as five nodes in four years. Five years and one CEO later, Intel’s comeback story is not as unambiguously positive as Pat may have hoped. [44], [45] Intel once set the pace for process technology, bringing high-k metal gate technology and FinFETs into volume production years ahead of the rest of the industry. Its 22 nm FinFET process reached consumers with Ivy Bridge in 2012. [46] Intel’s integrated device manufacturing (IDM) model allowed its architects and process engineers to co-optimize products and processes. Starting with Sandy Bridge, Intel dominated x86, while AMD struggled with Bulldozer. That lead faltered at 14 nm and broke at 10 nm. Intel targeted a massive 2.7× density increase, but the node arrived years late and required several revisions before it could support Intel’s full lineup. This delay forced Intel to stretch 14 nm across six generations, while TSMC moved ahead in process technology and AMD recovered in x86. By 2019, Intel was still shipping 14 nm across most of its product stack, with its 10 nm client ramp focused on Ice Lake mobile processors. Meanwhile, TSMC was shipping N7 and N7+, and AMD’s Zen 2 compute chiplets used N7 to raise core counts and improve efficiency. Intel’s process failures were central to its decline, but unsound business decisions furthered their downward slide. Product delays compounded product mistakes, pushing client, server, and FPGA roadmaps off schedule. Several attempts to enter AI (Nervana and Gaudi) and networking (Tofino) also failed to establish lasting businesses. Intel’s recovery has focused on consumer CPUs and advanced packaging. Tiger Lake, Alder Lake, Lunar Lake and now Panther Lake have restored Intel’s consumer roadmap. On the process side, Intel 4 shipped with Meteor Lake, Intel 3 with Granite Rapids and Sierra Forest, and Intel 18A with Panther Lake. Intel has also made advanced packaging part of its foundry offering. However, Intel is still playing catch-up in servers. Several Xeon generations arrived years late and trailed contemporary AMD and Arm server CPUs in performance, efficiency, and core count. The process roadmap is back, but Intel does not hold the same process-technology leadership position it held prior to 10 nm. The introduction of gate-all-around nanosheets and backside power delivery are two of the biggest changes to transistor integration in a decade. Intel took on both changes at once: 18A paired its first RibbonFET with PowerVia in Panther Lake. Panther Lake is a substantial manufacturing milestone. Our cross-sections show how RibbonFET and PowerVia reshape local contacts and wiring, while the floorplans show where architectural consolidation and process choices save area. A sustained competitive lead depends on product performance, cost, yield, and the next implementation. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page.. 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Available: https://patents.google.com/patent/US20160203857A1/en [33] Synopsys, “Advantages of firmware-based training in high-speed DDR IP,” Synopsys IP Technical Bulletin. Accessed: Sep. 14, 2026. [Online]. Available: https://www.synopsys.com/articles/firmware-based-training-ddr-ip.html [34] N. Muralimanohar, R. Balasubramonian, and N. P. Jouppi, “CACTI 6.0: A tool to understand large caches,” Hewlett-Packard Laboratories, 2009. Accessed: Sep. 14, 2026. [Online]. Available: https://users.cs.utah.edu/~rajeev/cacti6/cacti6-tr.pdf [35] Intel, “Intel Tech Tour 2024 Lunar Lake AI hardware accelerators,” Doc. 824436, 2024. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/824436/2024_Intel_Tech%20Tour%20TW_Lunar%20Lake%20AI%20Hardware%20Accelerators.pdf [36] Y.-H. Chen, J. Emer, and V. Sze, “Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,” in Proc. 43rd ACM/IEEE Annu. Int. Symp. Comput. Archit. (ISCA), Jun. 2016, pp. 367–379, doi: 10.1109/isca.2016.40. [37] Intel, “Introduction to the Xe-HPG architecture,” Doc. 758306, Nov. 4, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/developer/articles/technical/introduction-to-the-xe-hpg-architecture.html [38] Intel, “Core Ultra processors Series 3 for the edge,” Doc. 855291. Accessed: Sep. 14, 2026. [Online]. Available: https://cdrdv2-public.intel.com/855291/Intel%C2%AE%20Core%E2%84%A2%20Ultra%20Processors%20Series%203%20for%20Edge%20Overview_2.pdf [39] Intel Foundry, “Foveros technology brief,” Doc. 366411-001US, Feb. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/dam/www/central-libraries/us/en/documents/2025-07/foveros-25d-product-brief.pdf [40] D. Das Sharma, “UCIe: Building an open chiplet ecosystem,” UCIe Consortium, 2022. Accessed: Sep. 14, 2026. [Online]. Available: https://www.uciexpress.org/_files/ugd/0c1418_c5970a68ab214ffc97fab16d11581449.pdf [41] Intel, “Intel launches Intel Core Series 3 processors,” Intel Newsroom, Apr. 16, 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/newsroom/news/client-computing/intel-launches-intel-core-series-3-processors-changing-the-game-for-everyday-computing.html [42] Intel, “Core Series 3 launch press deck,” Apr. 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://download.intel.com/newsroom/2026/Intel-Core-Series-3/Intel-Core-Series-3-Launch-Press-Deck.pdf [43] Intel, “Intel outlines architectures for agentic AI at Hot Chips 2026,” Intel Newsroom, Aug. 24, 2026. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intel.com/content/www/us/en/newsroom/news/client-computing/intel-outlines-architectures-for-agentic-ai-at-hot-chips-2026.html [44] Intel, “Intel accelerates process and packaging innovations,” Intel Investor Relations, Jul. 26, 2021. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/filings-reports/all-sec-filings/content/0001193125-21-224438/d199788dex991.htm [45] Intel, “Intel reports third-quarter 2021 financial results,” Intel Investor Relations, Oct. 21, 2021. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/news-events/press-releases/detail/1505/intel-reports-third-quarter-2021-financial-results [46] Intel, “3rd generation Intel Core processors bring exciting new experiences and fun to the PC,” Intel Investor Relations, Apr. 23, 2012. Accessed: Sep. 14, 2026. [Online]. Available: https://www.intc.com/news-events/press-releases/detail/577/3rd-generation-intel-core-processors-bring-exciting

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Sep 26 • 9:36 AM EDT • Technology • newsletter.semianalysis.com
That fresh cleaning smell could be filling your home with nanoparticles

Researchers found that scented cleaners can react with ozone indoors to create billions or trillions of invisible nanoparticles that can penetrate deep into the lungs. The pollution forms within minutes and, in some cases, may produce an inhaled particle dose comparable to or greater than standing near heavy traffic.

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Sep 26 • 8:00 AM EDT • Science • sciencedaily.com
Propane Personality: Lucy Shaffer's path back to the family propane business

Lucy Shaffer, fifth-generation marketing and communications associate at Shaffer's Bottled Gas, shares her journey back to the family propane business.

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Sep 25 • 9:00 AM EDT • Business • lpgasmagazine.com
Health Care Partnership outlines workforce progress

More local nursing graduates are staying in the region, according to officials offering an update on the progress of the New Hanover Healthcare Career Partnership at a public forum last night. According to Jack Watson, dean of UNCW’s College of Health & Human Services, the number of UNCW nursing graduates choosing to remain in the area after graduation has climbed from 27% to the mid-40% range. The New Hanover Healthcare Career Partnership aims to address the region’s healthcare worker shortage, with a key focus on nursing through strategic partnerships between UNCW, Cape Fear Community College (CFCC), New Hanover County Schools and the Wilmington Chamber of Commerce Foundation. "Each of the partners had pathway programs,” said Watson, “but they were almost at times done in a silo." One of the New Hanover Community Endowment's largest commitments to date, the collaborative received a $22.3 million grant in 2023, to be disbursed over three years, beginning in 2024. At the public forum, leadership addressed the nursing bottleneck created by the pandemic, and Laurie Whalin, president of the Novant Health Coastal Region, acknowledged that Novant Health had relied heavily on travel nurses during that period, with travel nurses making up about 47% of staff and nursing turnover at 35% at the height of the pandemic. "I can say we are in a tremendously different place today,” Whalin said at the forum. The number of travel nurses employed by the Novant Health Coastal Region has dropped to around 100 today, which Whalin says accounts for less than 4% of the workforce. Roughly two years into the grant term, major stakeholders in the collaboration pointed to various accomplishments tied to the initiative. According to Stephen Hill, vice president of talent development with the Greater Wilmington Chamber of Commerce, 250 more nurses live in New Hanover County in 2026 than in 2023. Whalin added that between 2021 and 2025, the Novant Health Coastal Region has hired close to 1,200 registered nurses. Additionally, according to Whalin, over the past two years, hiring and retention of nursing graduates from UNCW increased by 103%, while hiring and retention of nursing graduates from CFCC increased by 70%. Mandy Mills, director of career & technical education at New Hanover County Schools, pointed to the launch of its first Health Sciences Academy program, established across the county's four traditional high schools (Hoggard High School, Laney High School, Ashley High School and New Hanover High School), which started with 38 students last year. Mills also pointed to growth in the district’s Nursing Fundamentals course, which grew from 10 seats in 2023 to 50 in 2025-2026 and is now offered at all four traditional high schools. Watson emphasized the growing nursing class sizes and offered an update on the school’s accelerated nursing degree, which launched last year. Eleven students graduated in the first class, and all passed their boards on the first try, Watson said. This year’s class has 24 students. When the endowment announced its $22.3 million grant for the collaborative in 2023, UNCW and CFCC were each slated to receive the bulk of the funds, at about $10 million each. UNCW’s plans for the grant money included expanding its simulation lab, Watson said. He added that construction is expected to begin on the simulation lab this year and will likely extend through next year. According to Mary Ellen Naylor, dean of Health & Human Services at CFCC, the college has experienced growth in its associate degree nursing retention, rising from 59% in 2023 to 76% for the May 2026 class. CFCC used part of its endowment funding to support wraparound services, including a housing stipend, tuition assistance, exam assistance, emergency assistance, drop-in daycare and clinical and educational supplies. "We have very strong … students, but once they get into the program, there are competing priorities,” Naylor said. “They are working multiple jobs. They have children. They're single parents." According to Naylor, in 2026, 94% of students who used support services are still enrolled or have graduated. Addressing a question from an audience member about an approaching “enrollment cliff,” driven largely by dropping birth rates, Watson and Naylor said demand remains strong at both schools. “Right now … we do have more applicants than we have spots in our nursing program, and it is still a competitive process to get into,” Watson said. “I do not foresee that changing.” "(We've) doubled enrollment in our nursing programs over the last few years, but just as Dean Watson said, we still have very robust applicant pools, so it is still very competitive to get in,” Naylor said. "We have the applicant pool to support that, but again, it's not as easy as just saying, 'Okay … we're going to take another 90 students.' It's making sure all the resources and infrastructure that we need to educate the students outside the classroom is there as well." In response to a question about applying the collaborative model to other healthcare positions besides nursing, Sophie Dagenais, CEO and president of the endowment, said she sees the potential for the model to expand to other healthcare jobs and even other industries, but that the endowment hopes to learn from this model first. “This is a grant that is in year two of three years, and first we wanted to learn what is this going to demonstrate, what will we learn and then how may we scale it possibly,” she said. According to endowment spokesperson Amber Rogerson, funds for the program are set to expire after June 2027. “It's too early to discuss what happens after that,” wrote Rogerson in an email, “though we know the partners are considering the future, and some of the work supported by the grants is now built into their regular operations.”

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Sep 23 • 2:13 PM EDT • Health • wilmingtonbiz.com
Health Care Partnership outlines workforce progress

More local nursing graduates are staying in the region, according to officials offering an update on the progress of the New Hanover Healthcare Career Partnership at a public forum last night. According to Jack Watson, dean of UNCW’s College of Health & Human Services, the number of UNCW nursing graduates choosing to remain in the area after graduation has climbed from 27% to the mid-40% range. The New Hanover Healthcare Career Partnership aims to address the region’s healthcare worker shortage, with a key focus on nursing through strategic partnerships between UNCW, Cape Fear Community College (CFCC), New Hanover County Schools and the Wilmington Chamber of Commerce Foundation. "Each of the partners had pathway programs,” said Watson, “but they were almost at times done in a silo." One of the New Hanover Community Endowment's largest commitments to date, the collaborative received a $22.3 million grant in 2023, to be disbursed over three years, beginning in 2024. At the public forum, leadership addressed the nursing bottleneck created by the pandemic, and Laurie Whalin, president of the Novant Health Coastal Region, acknowledged that Novant Health had relied heavily on travel nurses during that period, with travel nurses making up about 47% of staff and nursing turnover at 35% at the height of the pandemic. "I can say we are in a tremendously different place today,” Whalin said at the forum. The number of travel nurses employed by the Novant Health Coastal Region has dropped to around 100 today, which Whalin says accounts for less than 4% of the workforce. Roughly two years into the grant term, major stakeholders in the collaboration pointed to various accomplishments tied to the initiative. According to Stephen Hill, vice president of talent development with the Greater Wilmington Chamber of Commerce, 250 more nurses live in New Hanover County in 2026 than in 2023. Whalin added that between 2021 and 2025, the Novant Health Coastal Region has hired close to 1,200 registered nurses. Additionally, according to Whalin, over the past two years, hiring and retention of nursing graduates from UNCW increased by 103%, while hiring and retention of nursing graduates from CFCC increased by 70%. Mandy Mills, director of career & technical education at New Hanover County Schools, pointed to the launch of its first Health Sciences Academy program, established across the county's four traditional high schools (Hoggard High School, Laney High School, Ashley High School and New Hanover High School), which started with 38 students last year. Mills also pointed to growth in the district’s Nursing Fundamentals course, which grew from 10 seats in 2023 to 50 in 2025-2026 and is now offered at all four traditional high schools. Watson emphasized the growing nursing class sizes and offered an update on the school’s accelerated nursing degree, which launched last year. Eleven students graduated in the first class, and all passed their boards on the first try, Watson said. This year’s class has 24 students. When the endowment announced its $22.3 million grant for the collaborative in 2023, UNCW and CFCC were each slated to receive the bulk of the funds, at about $10 million each. UNCW’s plans for the grant money included expanding its simulation lab, Watson said. He added that construction is expected to begin on the simulation lab this year and will likely extend through next year. According to Mary Ellen Naylor, dean of Health & Human Services at CFCC, the college has experienced growth in its associate degree nursing retention, rising from 59% in 2023 to 76% for the May 2026 class. CFCC used part of its endowment funding to support wraparound services, including a housing stipend, tuition assistance, exam assistance, emergency assistance, drop-in daycare and clinical and educational supplies. "We have very strong … students, but once they get into the program, there are competing priorities,” Naylor said. “They are working multiple jobs. They have children. They're single parents." According to Naylor, in 2026, 94% of students who used support services are still enrolled or have graduated. Addressing a question from an audience member about an approaching “enrollment cliff,” driven largely by dropping birth rates, Watson and Naylor said demand remains strong at both schools. “Right now … we do have more applicants than we have spots in our nursing program, and it is still a competitive process to get into,” Watson said. “I do not foresee that changing.” "(We've) doubled enrollment in our nursing programs over the last few years, but just as Dean Watson said, we still have very robust applicant pools, so it is still very competitive to get in,” Naylor said. "We have the applicant pool to support that, but again, it's not as easy as just saying, 'Okay … we're going to take another 90 students.' It's making sure all the resources and infrastructure that we need to educate the students outside the classroom is there as well." In response to a question about applying the collaborative model to other healthcare positions besides nursing, Sophie Dagenais, CEO and president of the endowment, said she sees the potential for the model to expand to other healthcare jobs and even other industries, but that the endowment hopes to learn from this model first. “This is a grant that is in year two of three years, and first we wanted to learn what is this going to demonstrate, what will we learn and then how may we scale it possibly,” she said. According to endowment spokesperson Amber Rogerson, funds for the program are set to expire after June 2027. “It's too early to discuss what happens after that,” wrote Rogerson in an email, “though we know the partners are considering the future, and some of the work supported by the grants is now built into their regular operations.”

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Sep 23 • 2:12 PM EDT • Health • wilmingtonbiz.com
Europe has the science. Now it needs a clinical trials system to match.

Europe has the scientific expertise to lead the next generation of cancer research, but slow and fragmented clinical trial processes, particularly in the case of multinational trials, are not allowing it to reach its full potential. The EU Biotech Act can address the existing bottlenecks to turn this excellence into faster research, stronger competitiveness and earlier opportunities for patients.

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Sep 21 • 10:00 AM EDT • Science • euractiv.com
Expert Available: How Health Systems Can Help Address America’s Clinical Trial Bottleneck

A recent New York Times opinion essay argues that one of the greatest obstacles to developing new treatments is no longer scientific discovery, but the costly, complex and slow-moving system for testing those discoveries in people. The article also raises concerns that these challenges are driving more clinical research overseas. Adam Samson, president of the Advocate Health National Center for Clinical Trials (NCCT), is available to discuss how large, integrated health systems can help a

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Sep 21 • 9:00 AM EDT • Health • newswise.com
Dutch scientists discover tin-based solar breakthrough that keeps hot electrons 1,000 times longer than current panels, changing the future of solar power

Scientists at the University of Groningen in the Netherlands have discovered how tin-based perovskite materials allow hot electrons to retain their excess energy for around 1,000 times longer than expected, a finding that could shape the future of solar power. The researchers found that two physical effects, the hot phonon bottleneck and the Burstein–Moss effect, work together to slow electron cooling from picoseconds to nanoseconds.

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Sep 21 • 1:50 AM EDT • Science • timesofindia.indiatimes.com
Bijan Robinson totals 81 yards in loss to Panthers

Bijan Robinson bottled up by Carolina in Week 1, mustering 81 total yards on 19 touches in blowout home loss.

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Sep 21 • 12:57 AM EDT • Sports • sports.yahoo.com
Trevor Lawrence bottled up by Broncos

Jacksonville Jaguars QB Trevor Lawrence has rough Week 2 against Broncos

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Sep 20 • 9:32 PM EDT • Sports • sports.yahoo.com
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Novant Health drives $4.33B in regional economic impact, study says

Novant Health Coastal Region generates an annual overall economic impact of $4.33 billion in the Wilmington Metropolitan Statistical Area (MSA), according to a new report. Commissioned by Novant Health and conducted by Mouhcine Guettabi, associate professor of economics at the University of North Carolina Wilmington and the area’s regional economist, the report evaluates population growth in New Hanover, Brunswick and Pender counties and whether the area’s healthcare infrastructure is positioned to meet the region’s demand. According to the study, while healthcare employment has kept pace with population growth in New Hanover and Pender counties, it has not kept up with the rapid population growth in Brunswick County, which is skewed toward an older population. “It points very clearly to Brunswick County being the bottleneck, or being the place where investment is most needed,” Guettabi said to the Business Journal Friday, “because the growth is the fastest, the composition of the growth is older (adults) and demand for healthcare is much higher for the subpopulation.” The Novant Health Coastal Region employs 8,295 full-time equivalent workers, according to the report, and is the region’s largest employer. Overall, through direct, indirect and induced impacts, the Novant Health Coastal Region supports 19,573 jobs, the report said. Using data collected from internal payroll, financial and capital reports, the report estimates that Novant Health Coastal Region pays approximately $1.15 billion in total compensation to its employees. According to the study, the provider’s annual operating expenditures, or direct economic impact, total $2.36 billion. That direct impact ripples through the regional economy through spending at its suppliers, or indirect impact, and household spending by staff and its suppliers’ workers, or induced impact. The report estimates the Novant Health Coastal Region’s indirect economic impact is $786 million, reflecting the multiplying effect of the provider’s operating expenses on expenditures like medical supplies, facilities, food, IT and professional services. Because 86.9% of Novant Health Coastal Region employees live within the tri-county region, the report estimates that wages paid by Novant circulate into the regional economy, creating an induced economic impact of $1.17 billion. “That money just doesn’t go into thin air,” Guettabi said of the wages paid to Novant Health Coastal Region employees. “Some of that money is being re-spent, and therefore it’s supporting grocery stores, hiring, restaurants and bars, and there are a lot of other companies or organizations whose employment, whose activity partially depends on that.” The combination of direct ($2.36 billion), indirect ($786 million), and induced ($1.17 billion) impacts totals an estimated $4.33 billion, according to the report. A study commissioned by Novant Health in 2024 and conducted by FTI Consulting’s Center for Healthcare Economics and Policy found that Novant Health generated nearly $2 billion of direct impact, with $628 million in indirect impact and $857 million in induced impact. Healthcare investments in the pipeline for Brunswick County Additionally, the study found that while healthcare employment has kept pace with population growth in New Hanover and Pender counties, it lags in Brunswick County. “Once you go below the metro level and you decompose the three counties that make up the Wilmington Metro,” Guettabi said, “it becomes fairly clear that Brunswick is the standout. And not only that, but clearly the growth there is fully domestic migration and largely retiree-driven migrants.” Using data from the Centers for Medicare and Medicaid Services on per-capita healthcare spending among age groups, Guettabi estimates that adults aged 65 and older demand 2.44 times the healthcare of working-age adults. “The share of the population in Brunswick County that’s over the age of 65 is 33%,” Guettabi said, “which is so much higher than the average share of people over the age of 65 within the state or within the country.” The report emphasizes that Brunswick County is the “strongest candidate” for new healthcare investment, adding that patient discharge records show Brunswick residents rely heavily on facilities in New Hanover County for inpatient care. “Investments in Brunswick County would not only meet the demand for those residents, but it would also relieve pressure for New Hanover County residents,” Guettabi said. Laurie Whalin, president of the Novant Health Coastal Region, told the Business Journal Friday that the provider plans to expand services at Novant Health Brunswick Medical Center, in addition to other investments in the area. In April, the state granted conditional approval to both Novant Health and Columbus Regional Healthcare System to build new hospitals, just miles apart, on either side of the Columbus County and Brunswick County borders. Columbus Regional’s $214 million 30-bed hospital would be located at the former Acme-Delco Middle School in Delco, according to the application. The project’s approved timetable has construction slated to finish in May 2029, with the hospital open for service by October 2029. The Whiteville-based provider, which Atrium Health manages, broke ground on an Advanced Care facility in December 2025 and operates four specialty clinics in Leland. Meanwhile, Novant Health’s proposed $251 million 20-bed hospital would be built just miles from Columbus Regional’s proposed hospital, near the Compass Pointe community in Leland. The provider estimates the hospital will open by 2030. State officials also approved Novant Health in March to build a freestanding emergency department in Carolina Shores, near U.S. 17. The project is estimated to cost $24 million, according to the application, and will operate under the Novant Health Brunswick Medical Center license. Additionally, Novant Health’s 16,000-square-foot ambulatory surgery center is slated to open in Leland by year’s end, officials said.

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Sep 18 • 2:16 PM EDT • Health • wilmingtonbiz.com
FDA has too few staffers to hire more staff

FDA's hiring bottleneck, Dems plan for health care oversight, and more from STAT's D.C. Diagnosis newsletter.

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Sep 17 • 10:17 AM EDT • Health • statnews.com
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Why companies are rethinking the way employees access business data

Learn how Nithish Shetty uses plain-language analytics and governed data models to eliminate reporting bottlenecks.

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Sep 16 • 9:26 AM EDT • Business • wftv.com
Alcohol-free bottle shop to close

A Richland business launched in the wake of the Covid-19 pandemic to provide beverages other than alcohol for social gatherings is closing its doors.

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Sep 15 • 9:00 PM EDT • Business • tricitiesbusinessnews.com
Report: Iran war caused destruction to US bases, aircraft

The watchdog also found the war caused “strategic inventory shortfalls” of critical munitions and revealed resupply bottlenecks.

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Sep 15 • 1:13 PM EDT • Politics • news8000.com
GE HealthCare Announces CareIntellect for Operations, Helping Health Systems Optimize Resources and Expand Access to Care

CHICAGO, September 15, 2026--GE HealthCare (Nasdaq: GEHC) today announced CareIntellect™ for Operations, a new AI-enabled Software-as-a-Service (SaaS) application designed to help health systems forecast capacity constraints up to 72 hours in advance, providing comprehensive unit-, department-, and enterprise-level views of emerging bottlenecks. By analyzing hundreds of patient- and operational-level data points—including bed availability, patient delays, staffing, wait times, and ancillary serv

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Sep 15 • 8:00 AM EDT • Health • finance.yahoo.com
Rock Doc Jayhawk: ‘Crash course in Business 101’ leads Kansas entrepreneur to Today Show spotlight

It was a dream-come-true moment for CEO Jim Gray — nearly 25 years in the making — when “Today” cohost Craig Melvin picked up a bottle of Rock Doctor on a summer episode of the NBC morning show and told the audience, “We use this in our house!”

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Sep 14 • 4:45 PM EDT • Business • startlandnews.com
Pandemic-born Wichita business expands to two new states and debuts new product

After expanding across Kansas, Troy Brooks now has expanded his Greatness Vodka into Oklahoma and Missouri.

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Sep 14 • 5:03 AM EDT • Business • kansas.com
Children's Health patient wins annual Volleman's Dairy milk bottle design contest

Special milk bottle is hitting store shelves now.

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Sep 12 • 6:51 PM EDT • Health • nbcdfw.com
Judy Garland tossed pill bottles into NYC river to prove sobriety to husband, says daughter Liza Minnelli

The Oscar-winning “Cabaret” star shares new insight into her famous mother’s struggles with addiction before her overdose at age 47.

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Sep 11 • 9:43 PM EDT • Entertainment • yahoo.com
Bottled water giant shutters Absopure’s Plymouth facility months after acquiring the company

A California water bottling company is closing a Plymouth facility months after acquiring the company.

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Sep 11 • 1:35 PM EDT • Business • crainsdetroit.com
A Stealth Startup Thinks It Just Hacked the Memory Shortage

Kepler Computing claims a new approach to chip design—and a proprietary material—can help end the supply bottlenecks that have sent memory prices surging.

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Sep 9 • 9:00 AM EDT • Technology • wired.com
Beyond Bottlenecks: The Strategic Future of Mexico Healthcare

Mexico must tackle COFEPRIS delays, USMCA uncertainty, and long payment cycles to build a competitive healthcare industry, writes Deyanira Chiñas.

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Sep 9 • 8:00 AM EDT • Health • mexicobusiness.news
The best business gifts aren’t the most expensive. They’re the most personal.

Louisville businesses are using engraved bourbon bottles to personalize corporate holiday gifts and strengthen client relationships.

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Sep 9 • 12:00 AM EDT • Business • bizjournals.com
Arm CEO says AI could cure cancer but data centers are a bottleneck

Getting there, however, will require enormous amounts of computing power, Haas said.

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Sep 8 • 2:47 AM EDT • Business • businessinsider.com
Cuba: US Embassy issues health alert due to GI pathogens like norovirus, Shigella

The US Embassy in Havana issued a health alert last week after seeing a significant increase in diarrheal illness across Cuba, associated with the continuing degradation of the water and energy infrastructure. This degradation affects water supply, and food storage and temperature control. Recent cases have included E. coli, norovirus, Shigella, and other gastrointestinal pathogens. This comes after a health alert dated August 28 which noted that Cuba’s water delivery infrastructure is increasingly unstable. The Embassy is aware of reports of residential neighborhoods that have gone for long periods without receiving water from municipal or public sources. Dengue cases surge in the Tampa Bay area Prolonged and worsening water issues and power outages caused by the regime’s mismanagement of public infrastructure impact the entire island. Water often only flows to residences when city power is on for a sufficient amount of time. Media reports indicate wells are running dry across the country due to drought, aggravating the ability to supplement water delivery. The lack of water, coupled with power shortages that have disrupted cold chain networks, can present significant health and safety challenges. We remind U.S. citizens to be aware of the risks when traveling to Cuba and take precautions. Embassy officials offer the following precautions to prevent illnesses: Avoiding Foodborne Illness: Be cautious of meat, poultry, seafood, eggs, dairy, and other perishable foods that may have been inadequately stored. Avoid foods that appear to have been sitting at room temperature for extended periods. Avoid raw or improperly washed vegetables. Be cautious of food cooked and then cooled, stored, or reheated, as improper temperature control can allow pathogens or toxins to develop. Wash hands thoroughly with soap and water before eating and after using the restroom. Hand sanitizer may be less effective against certain gastrointestinal pathogens, including norovirus. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Water Safety: Use only water known to be safe for drinking, brushing teeth, making ice, and cooking. Use bottled or appropriately treated water; check that bottle seals are intact before opening. Avoid ice unless the water source is known to be safe. Do not use untreated tap water to prepare beverages or food. Be aware that contamination can occur when food, utensils, and surfaces are washed with contaminated water. If You Become Ill: Stay hydrated, especially with frequent diarrhea or vomiting. Most illnesses are self-limited and improve within several days. Seek medical attention for persistent or severe diarrhea, bloody stools, high fever, significant abdominal pain, repeated vomiting, signs of dehydration, or symptoms not improving. Common medications (e.g., acetaminophen, ibuprofen, antibiotics) are frequently unavailable in Cuba; consider bringing your own supply. If you like the reporting on Outbreak News Today, please consider a paid subscription for $5/month or $30 a year. Help support the cause of this niche journalism. It is appreciated.

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Sep 6 • 11:29 PM EDT • Health • outbreaknewstoday.substack.com
Morgan Stanley breaks down elections it's with impact on data centers

Data center developers have run into local opposition across the US this year. Market pros say the bottleneck could be a threat to the AI trade.

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Sep 6 • 5:20 AM EDT • Business • businessinsider.com
Unknown suspect breaks into Sioux Falls business with a rock, steals alcohol

The SFPD is seeking information about a burglary in which an unknown suspect broke into a business with a rock and stole multiple bottles of alcohol on Wednesday.

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Sep 3 • 8:28 PM EDT • Business • dakotanewsnow.com
How to Clean a Reusable Water Bottle

Reusable water bottles can harbor a lot of bacteria if they go unwashed — here’s how to keep them safe to drink from.

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Sep 3 • 11:50 AM EDT • Technology • nbcnews.com
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Unknown suspect breaks into Sioux Falls business with a rock, steals alcohol

The SFPD is seeking information about a burglary in which an unknown suspect broke into a business with a rock and stole multiple bottles of alcohol on Wednesday.

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Sep 3 • 11:13 AM EDT • Business • dakotanewsnow.com
Early DLSS 5 Testing Suggests the RTX 5090's Single Power Connector Might Be the Bottleneck

Community testing of leaked DLSS 5 builds suggests the tech may already be hitting a wall on NVIDIA's own flagship GPU. Tom's Hardware ran the neural rendering model through Cyberpunk 2077, Hogwarts Legacy, and Control on an RTX 5090 Founders Edition, as well as an MSI RTX 5090 Lightning Z....

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Sep 2 • 11:03 AM EDT • Technology • techpowerup.com
Incredible edibles: Scientists turn plastic bottles into cookies

The pastry could be produced in remote locations

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Sep 2 • 2:00 AM EDT • Science • theweek.com
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Man hits Atlanta police with bottle containing feces during mental health crisis

The was charged with aggravated assault.

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Aug 31 • 2:58 PM EDT • Health • wsbtv.com
Scientists turned plastic bottles and corn waste into protein-rich cookies; the food could help tackle hunger problem and also feed space crews

Researchers at Southern Illinois University Carbondale (SIU Carbondale) are working on a technology that turns plastic waste from a water bottle into part of a cookie. For this, they programmed yeasts to convert material from plastic waste and agricultural waste into proteins, fats, acids, vitamins and flavouring molecules.

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Aug 25 • 2:30 AM EDT • Science • timesofindia.indiatimes.com
Scientists Develop Microbes That Make Vanilla Cookies Out of Plastic Bottles

“Microbes are very clever. So, we are using their traits to solve the problems we created.”

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Aug 24 • 11:15 AM EDT • Technology • gizmodo.com
Cookies Made From Plastic Bottles Could Ease Food Shortages, Feed NASA Crews In Space

By using microbes to break down plastic, and baker's yeast to introduce vanilla flavor, researchers have turned waste into food.

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Aug 24 • 10:50 AM EDT • Technology • forbes.com
FDA plans to regulate generative AI

New clues to RFK Jr.'s vaccine plans, a bottleneck for nurse practitioners, and more health news from Morning Rounds

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Aug 24 • 8:45 AM EDT • Health • statnews.com
Maker of Clear Eyes Recalls Nearly 40,000 Bottles Over Contamination Risk

Federal safety regulators said the maker of Clear Eyes Maximum Itchy Eye Relief voluntarily recalled the drops because of a “lack of assurance of sterility.”

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Aug 23 • 2:12 PM EDT • Health • nytimes.com
Pyrex’s $25 Water Bottle Is Gaining Popularity Due to a Cool Feature That Stanleys and Owalas Don’t Have

Pyrex’s water bottle has one very cool feature that Stanleys and Owalas don’t have—it changes color. Plus, it’s made of shatterproof glass and features a locking flip-top that can be accessed with one hand.

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Aug 23 • 7:30 AM EDT • Technology • realsimple.com
Guardian shortage contributing to hospital patient bottlenecks

Patients who aren't able to make medical decisions for themselves and lack a guardian can't be discharged from a hospital until a court appoints one — creating a complicated, lengthy logjam that can prevent others from accessing hospital beds. A new report finds the state is relying on a limited and shrinking pool of guardians.

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Aug 18 • 2:28 AM EDT • Health • wbur.org
3 in custody in connection with Evadale business burglary

Tramayne Arline, 20, Ezavion Bass, 19, and Davis Bottley, 20, were arrested and charged with burglary of a building on Monday.

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Aug 17 • 9:42 PM EDT • Business • ktre.com
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AI needs science’s search history

“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.

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Aug 13 • 11:16 AM EDT • Science • press.airstreet.com
Business owners sue Prince George’s County over new $5,000 liquor, tobacco fee
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Aug 12 • 4:48 PM EDT • Business • wjla.com
Smelling success: Kalispell local sees fragrance business take-off

Born and raised in Kalispell, Bungay said Montana Fragrance Co. draws from the many iconic places around his home in Northwest Montana — an idea embraced by local merchants and their customers who have quickly bought up bottles from store shelves.

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Aug 9 • 3:00 AM EDT • Business • dailyinterlake.com
Goldie Hawn, 80, Dances in Plunging Gem-Studded Swimsuit While Holding a Huge Bottle of Wine

The actress brought the party.

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Aug 4 • 1:18 PM EDT • Entertainment • yahoo.com
Nearly 12 million bottles of Rohto eye drops over sterility concerns, FDA announces

Nearly 12 million bottles of Rohto Cooling Eye Drops face a Class II recall over lack of assurance of sterility, affecting eight product lines.

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Aug 1 • 4:21 AM EDT • Business • foxbusiness.com
Staying Hydrated as Fall Sports Kick Off

A sports medicine physician highlights the importance of staying hydrated as two-a-days for football and other fall sports kick off this month.

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Jul 31 • 5:02 PM EDT • Sports • newsroom.clevelandclinic.org
The power plant players unlocking the grid | Investors Lab

History is full of aha moments where an apparent failure was actually the breakthrough people didn't know they needed. Take champagne, discovered when French winemakers kept finding their bottles exploding under pressure. Or sticky notes, developed from a glue that was rejected by leadership at 3M for being too weak, but later redeployed for the purpose we all know and love. Nuclear fusion just experienced another of these serendipitous discoveries. For decades, it wasn't clear how the subatomic particles known as alpha particles would affect the turbulence that drains heat from a reactor's core, preventing the reactor from reaching self-sustaining fusion. Now, new simulations suggest that the particles help. The new research turns what was once viewed as a potential operational hindrance into a critical performance booster. SN's Emily Conover has the info blast.

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Jul 29 • 9:00 AM EDT • Science • sciencenews.org
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Little bottles becoming big business for booze

NEW YORK — The future for big booze might be smaller — literally. Jameson maker Pernod Ricard, Patrón owner Bacardi Limited, and Kendall Jenner’s 818 ...

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Jul 26 • 2:30 AM EDT • Business • toledoblade.com
Singer Chris Brown pleads guilty over bottle attack at London nightclub

Prosecutors dropped more serious charges, including assault and attempting to cause grievous bodily harm, in exchange for the guilty plea

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Jul 24 • 10:11 AM EDT • Entertainment • spectrumlocalnews.com
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Singer Chris Brown pleads guilty over bottle attack at a London nightclub
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Jul 24 • 7:58 AM EDT • Entertainment • yahoo.com
Radiology sees ‘substantially lower' relative growth in training capacity compared to rest of medicine

“These findings collectively suggest that the bottleneck in radiology training capacity may be financial rather than structural," researchers write in the Journal of the American College of Radiology.

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Jul 24 • 1:26 AM EDT • Business • radiologybusiness.com
What JPMorgan Chase CEO Jamie Dimon Understands About Leadership That Most CEOs Miss

Is your business growing or just bottleneck? The strongest business is built by leaders who prepare it to thrive long after they step aside.

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Jul 22 • 10:00 AM EDT • Business • inc.com
Little bottles are becoming a big business for booze

As drinkers cut back, the future for big booze might be smaller — literally.

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Jul 20 • 7:00 AM EDT • Business • cnn.com
Watch a Mad Scientist YouTuber Make Lightning in a Bottle From Mercury and Neon

Yes, of course it's Styropyro.

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Jul 19 • 1:45 PM EDT • Technology • gizmodo.com
A tiny universe in a bottle reveals clues to the origins of life

Researchers have created cosmic dust from scratch by recreating space-like conditions inside glass tubes. The dust contains complex carbon-rich molecules built from elements essential to life and produces infrared signals similar to real material found in space. By studying these laboratory samples, scientists can explore how organic chemistry unfolds around stars and how comets, asteroids and meteorites may have carried those ingredients to Earth.

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Jul 19 • 8:00 AM EDT • Science • sciencedaily.com
$6 for a Coke. $2,600 for an iPhone: Here's where everyday items cost the most.

Everyday life — from a bottle of soda to rent for a one bedroom — costs the most in these cities.

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Jul 19 • 5:38 AM EDT • Business • businessinsider.com
The Directors: Two leaders in data science have a warp speed vision for AI, with cancer clinical trials leading the way Knudsen and Thoelke: “It’s actually solving for bottlenecks and challenges that we’ve been unable to overcome for so long”

The United States has a translation problem. Scientific breakthroughs in oncology are accelerating, but clinical trial infrastructure hasn’t kept pace. The solution: Speed up clinical trial enrollment by using AI to reduce costs and eliminate bureaucratic red tape. Tasks that ordinarily require hours of manual work for each patient in a single study can now […]

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Jul 17 • 10:58 AM EDT • Science • cancerletter.com
Sunscreen gets an upgrade | Investors Lab

There are hundreds of brands of sunscreen available in the United States, but not one of them contains an ingredient we all need. Bemotrizinol, a highly effective, broad-spectrum chemical ultraviolet ray blocker, has been available in Europe for decades but absent from U.S. shelves. The regulatory bottleneck was driven by a 2011 U.S. Food and Drug Administration policy classifying sunscreens as drugs. While the classification remains, consumers and innovators can welcome the news that the FDA has officially approved bemotrizinol, effective August 9, 2026. Science News's Meghan Rosen provides the coverage.

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Jul 15 • 5:15 PM EDT • Science • sciencenews.org
47 revelatory hours with Assassin’s Creed Black Flag Resynced

To review this month’s supposed remake of 2013’s Assassin’s Creed IV: Black Flag, I must first correct the record. Assassin’s Creed Black Flag Resynced isn’t a game about pirates (and assassins) in the 18th century Caribbean. Sure, sure, that’s what the trailers would have you believe. They’ve go their clips of Edward Kenway swinging his swords and steering his pirate ship into cannon-blasting combat against British frigates. Is Resynced truly a pirate game? Of the 47 hours I spent playing Resynced over the past few weeks, I will admit I spent maybe 44 (?) of them collecting plunder with Blackbeard, drinking rum with Anne Bonny and debating the pros and cons of the lawless pirate-run settlement Nassau with Benjamin Hornigold. I may in fact have spent dozens of hours sailing to remote islands, reading treasure maps, opening messages left in bottles, sinking the odd Man o’ War with a well-timed broadside, collecting sea shanties for my crew, befriending a pet monkey, and hunting whales. I am nevertheless neither so Gullible nor so Narrow-Minded as to call the magnificent Resynced a “pirate remake.” Oh no. Forget any reviews of Assassin’s Creed Black Flag Resynced you may have read. Forget what you yourself may have played, if you’ve spent any time with the game since its launch. What Assassin’s Creed Black Flag Resynced is really about I’m here to give you the scoop (spoilers for Resynced’s Animus menu lore, which many players are probably not going to see): Assassin’s Creed Black Flag Resynced, the new game whose development was led by Ubisoft Singapore, is set in the year 2096. It’s about a societal split, about revolution, about an old Assassin’s Creed adventure repurposed in the series’ distant future as propaganda or samizdat. It’s about the overheated future of 2096, essentially conquered by the series’ well-established nefarious Templar-run company Abstergo. (In this future, Abstergo is, among other things, remaking a 2013 pirate movie called Devils of the Caribbean, but this time in VR. The VR version will be backed by a marketing plan that involves AI influencers, a 10,000-avatar “metaverse premiere event” and that manufacturing of memes aimed at “50 million VR nodes.” See what I mean about Abstergo being evil?) Resynced is about a late 21st-century population mollified by the widespread use of Abstergo’s Animus devices which let people experience the lives of historical figures culled from “genetic memories.” It’s about an insurgent faction of Assassins. And it’s about a plan to wake the population into revolutionary fervor by showing them the memories of 18th century pirate Edward Kenway, who—as depicted in the original Black Flag and again in Resynced—gradually comes to an understanding about the Assassins of his day and their centuries old fight for freedom. Resynced is also about an AI developed within the late 21st-century Animus, called Ego. It has found a way to alter genetic memories, to create and show Animus users false ones. The game is about Ego’s efforts to tell the people experiencing Edward Kenway’s memories that Kenway was wrong, that fighting against order is folly, that we should crave a world where “compliance is rewarded with power.” Who are we in this game? We’re an unnamed Animus user in 2096 who experiences Kenway’s journey virtually. At four moments during Kenway’s exploits in the Caribbean our virtual jaunt can be interrupted for 10-15 minutes, as we explore Animus “rifts” where Ego explicitly tries to tell us how wrong Kenway was. None of this is what 2013’s Assassin’s Creed IV: Black Flag was about, of course. That was a different game, even if you also spent dozens of hours pirating as Kenway in that game, across missions and a map that’s been faithfully reintroduced and rebuilt for Resynced. The 2013 Black Flag was about you playing as an unnamed researcher newly hired in 2013 by Abstergo Entertainment, the video game development wing of the Templars’ evil-corp. In that game, you were assigned to use the Animus to dive into the genetic memories of Desmond Miles, a man who died in Assassin’s Creed III and who was descended from a long line of Assassins (and at least one Templar) whose adventures were featured across the prior AC games. In 2013’s Black Flag, your mission was to plumb the Edward Kenway experience for material that Abstergo could use in productions such as the motion picture Devils of the Caribbean, though the Templars had some ulterior motives for the assignment. Resynced is therefore not a remake of 2013’s Black Flag. It’s a sequel. It is a new game about a new exploration of Edward Kenway’s pirate/assassin journey, set 83 years after the framing sequences of the original game. Resynced provides a new narrative framework that, thanks to the concept of an AI that wants to alter historical memories, arrives with creative justification to tweak a now-classic 13-year old game. That makes Resynced, already a hot seller, a tantalizing hint of where Ubisoft could go with a line of Assassin’s Creed remakes. They could remake the first game, the Ezio games, even the recent ones set in ancient Egypt and Greece. And for each, they could not just modernize the graphics and controls but expand and alter their sequences of events to use them as reference points for a conflict set in the late 21st century, as rival factions try to weaponize historical memories. Game File is a reader-supported publication. To receive new posts and support my work, even when that work consists of ravings about Assassin’s Creed’s modern day plot, please consider becoming a free or paid subscriber. Subscribe A story most players will probably miss If you didn’t know any of this, I’m not surprised. If you played the game and still didn’t catch it, I’m not a bit shocked. If Ubisoft has no plans to do more of this, I won’t fall down. Almost all of what I’ve described is optional and missable in Black Flag Resynced. I nearly missed it myself, as I planned for a breezy playthrough of an old Assassin’s Creed favorite. Instead, I found myself in a 40+ hour hunt for the “real” story, buried deeper in Resynced than any gold-filled chest. The story of 2096 is Resynced’s meta-story, told in two remote pockets of the game: 1) four optional playable “rifts” that players may find as they proceed through Resynced’s pirate fantasy , 2) in dozens of text files tucked three menus deep in the game’s barely-interactive Animus hub. Assassin’s Creed games have almost always had a meta-story about people in the 21st century (usually matching the game’s release year) and their connections to the main history portions you play. Those meta-stories have always been squeezed into the margins, though seldom as severely and as, uh, graphiaclly simple, as in recent games. Back in 2013, the modern-day exploits of you as an Abstergo Entertainment employee were prominent. They were portrayed via first-person portions that occasionally interrupted the third-person Kenway experience and could be explored for hours, complete with their own missions, side quests and puzzles. Resynced’s 2096 story—of Assassin “Watchers” vs. Abstergo/Tempar goons, of rogue AIs, of panicking scientists, of a woman wondering why her Animus-addicted husband is muttering about Mary Read (“What does he mean by Assassins?”), of a fight for the population’s hearts and minds via varying interpretations of Edward Kenway’s life choices—is mostly told through unlockable text files. The files are interesting. Offered via diary entries, intercepted chats and news reports, they present varied perspectives of a world in crisis. One set works as a narrative puzzle as it reveals the Rashomonic interpretations of a massacre, or was that a successful Assassin hit? Another favorite reveals the rising bitterness of a person who, through Edward Kenway’s journey, now shakes at the ignored evil around him. One surmises that Ubisoft is averse to putting the Assassin’s Creed’s meta-story in the way of more marketable pirate playgrounds and ninja/samurai epics. Instead, we get a better-than-nothing text-in-menus approach introduced in 2025’s Assassin’s Creed Shadows. In Shadows, players unlocked the meta-story text files largely via time-gated missions that called on the user to kill X number of enemy type Y, clear three enemy castles, re-win a three-phase fighting tournament, and other grinds. Time restrictions on accessing these missions and unlocking the files meant it could take players months to access the full story in-game. But even in the most hardcore Assassin’s Creed hangouts, the fanbase instead seemed to throw up their hands rather than grind to keep up. In Resynced, Ubisoft has shown some mercy, diminishing the amount of new text files that are tied to timed grinds. Now, most of the text-based 2096 lore are associated with “data file” collectibles that players can find in the world. That includes a batch of written entries that explain a historical link between the feudal Japan era in Shadows and the piracy adventures in Black Flag. Players who explore a lot will find dozens of data files, though the game does not appear to offer any in-game tracker for finding each one. You just need to keep looking for them. As of this writing, I have most of them, but not all. I can’t find any full guide for them online. And even Ubisoft’s optional $5 microtransaction that reveals lots of items in-game does not appear to reveal the locations of the text files (at least the official description omits them from its collectibles list). That’s not a huge bother, because tracking the data files down compelled me to re-explore the waves and islands of Black Flag. That was a thoroughly pleasant task to do for the first time in a dozen years. I expect many players, though, will be content to wait for the files to be reproduced in an online AC wiki somewhere, the easier to read on a web page. It may not seem enticing to play a video game in order to gradually unlock pages of text to read. Why not, you may ask, just read a book, where they put the pages in order? For one, they’ve not tucked this latest installment of Assassin’s Creed’s meta saga in a book. I also enjoy the unordered delivery, the dawning comprehension of a story about 2096’s desperate people and questionable tech, which I glimpsed first at its middle, then the end, then the front, then other moments in between1. I am also enamored with the idea of the Assassin’s Creed games I’ve previously played, including Black Flag, being repurposed for an information war. The ideas in Resynced’s meta-story, which builds off characters and ideas in Shadows’ chunks of text, are strong. The potential of where they could go with it is exciting. As for the pirate stuff? Looks great, controls pretty well, is fun to play and oh so speedy in terms of how much of a good time you can have with each sit-down. It never gets old to chase a new shanty page across a rooftop, bombard a fort with upgraded mortars or use a diving bell to explore sunken wrecks (hats off to the team at Ubisoft Barcelona that worked on the underwater portions in Resynced; that team is now facing layoffs, such is the misery of modern gaming and oft-troubled Ubisoft). New pirate missions in Resynced involving new ally characters are brief, dramatic and add more to Edward’s story, even if the gameplay perks they provide barely enhance the gameplay. A new denouement for high-class pirate Stede Bonnet is affecting; a new hunt for Blackbeard’s treasure is a welcome extra moment. A new epilogue to hunt down a pirate killer, on the other hand, over-complicates Kenway’s character. The ending credits remain my favorite of any game I’ve ever played. Black Flag provides great source material. The revisit is well-made and a great sign of what could be. It is offered in a different wrapper that hints at an opportunity for more interesting remakes to come, should Ubisoft choose to pursue such treasures—and as we brace to resist or comply with an Abstergo future. 1 The messages that Edward Kenway finds in bottles tell another out-of-order story, one about a man reckoning with the strange memories and voices he’s heard in his head since he was a boy. That tale was also in the 2013 game and develops into one of Black Flag’s most compelling character arcs. In Resynced, it has lost its climax, because the bottle story previously paid off in the halls of the first-person Abstergo Entertainment, which is exclusive to the older game. An altered resolution, written by the 2013 game’s lead writer is fine, doesn’t invalidate the 2013 version, but makes for an inferior final note.

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Jul 14 • 3:17 PM EDT • Technology • gamefile.news
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Bottled Water Business Owner Appeals Detention in Trinidad Over Alleged PM Assassination Plot

July 7 (Reuters) - Business executive ⁠Dominic ⁠Hadeed and his ⁠wife Genevieve filed an appeal on Tuesday against their detention over an ‌alleged plot to ‌assassinate top members of the ⁠Trinidadian ⁠government, including Prime Minister Kamla Persad-Bissessar. Hadeed, who owns the Trinidad and ...

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The Viral Starbucks "Bearista" Cup Has Returned With The Cutest Upgrade

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