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Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder
The Philadelphia Phillies are expected to be active on MLB’s trade market this offseason after a disappointing-ish end to the 2026 campaign. There has been a lot of speculation about who could be moved from the Phillies’ roster, but Dave Dombrowski will be thinking about making additions to the roster as well, and a solid […] The post Philadelphia Phillies Trade Prediction Lands 2X All-Star Outfielder appeared first on HEAVY.
Businesses Report Flat Summer Tourism Despite Inflation, Smoke and Airport Runway Closure
In August, when an active wildfire season in the Pacific Northwest choked the Flathead Valley in a dome of smoke, Glacier Guides and Montana Raft owner Denny Gignoux started getting cancellation requests and noticed lower demand for rafting and hiking trips at his outfitting business. While the smoky skies deterred some visitors from traveling altogether, […]
Bruins to Host Hockey Fights Cancer Night, Presented by Beth Israel Lahey Health, on October 22
The Boston Bruins will host Hockey Fights Cancer Night, presented by Beth Israel Lahey Health (BILH), on Thursday, October 22, during their home game against the Nashville Predators at 7 p.m. at TD Garden. Now in its 28th season, Hockey Fights Cancer is a joint initiative of the NHL and
PENN Entertainment (NASDAQ:PENN) Stock Price Target Lowered at JPMorgan Chase & Co.
JPMorgan Chase & Co. lowered their price objective on shares of PENN Entertainment from $27.00 to $24.00 and set an "overweight" rating on the stock in a research report on Tuesday.
Dan Campbell Delivers Encouraging Kerby Joseph Injury Update
Dan Campbell says he expects Kerby Joseph to play for the Detroit Lions this season, but the All-Pro safety still has no return timeline.
Pirates Named Surprising Landing Spot For NPB Star Teruaki Sato
The Pirates' front office has some work to do this offseason to add to the team.
On3 Sports Honors Kentucky’s Lance Heard, Coach Will Stein in Midseason National Awards
Kentucky football head coach Will Stein has been named On3 Sports’ Midseason National Coach of the Year and offensive lineman Lance Heard a First Team All-American.
North Carolina flag football rankings: USA TODAY Sports Super 10, Week 7
As flag football season continues in North Carolina, these teams sit atop this week’s Super 10 rankings.
Dream and mind-wandering reports could offer hints about mental health
Dreams and mind-wandering have long fascinated psychologists and researchers studying the human mind. This is partly because these experiences offer glimpses into people's inner lives, emotions, past ...
Seahawks Hosted Virginia Mason Franciscan Health Patients At Practice For Crucial Catch Month
In honor of Crucial Catch month, the Seahawks hosted six Virginia Mason Franciscan Health patients at a practice.
The Center for Addiction Science and Innovation Holds First Outreach Event
The Center for Addiction Science and Innovation brought addiction science research out of the lab and onto the UConn Storrs campus with their outreach event.
How to watch the 2026-2027 NBA season: What streaming services do you need?
The national streaming lineup remains the same, but local broadcasts are a hot mess.
Walbridge seals deal to remain downtown and expand into a much larger office
It’s official: Walbridge Group is moving its headquarters — and they’re staying downtown.
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.
Cavaliers Bench Unit Among Biggest Questions Entering NBA Season
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Athletics, CBA and everything MLB in between
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Big 12 commissioner talks future of CFP, Protect College Sports Act
What's the future of football conference title games and basketball tournaments? Brett Yormark addressed the effects of postseason expansion at Big 12 media days.
Powerhouse UCSB team awarded big grant to investigate mathematical foundations of AI
Researchers Nina Miolane, Haewon Jeong, Sanjuka Krishnagopal and Yao Qin win $1 million from NSF for their collaborative investigation
Ice Cream Shop Owner Brought Her Kids to Work. Then the Health Department Arrived
“I’m sick of people acting like kids don’t belong,” the Michigan business owner tells TODAY.com.
Inside the Conversation Between Magic's Sean Sweeney and Jon Gruden
Orlando Magic head coach Sean Sweeney and Super Bowl-winning coach Jon Gruden recently discussed numerous topics concerning the Magic.
Pirates Learn Projected Price Tag for Potential Target Seiya Suzuki
The Pittsburgh Pirates need to add another power bat this offseason.
Kenya confirms new Ebola case, bringing total infections to 9, health ministry says
Kenya’s Ebola outbreak has risen to nine confirmed cases.
Trump uses antisemitic slur to defend GOP Kansas senator
GOP Kansas Sen. Roger Marshall Marshall is locked in an unexpectedly tight reelection battle against Democrat Adam Hamilton in what might be the biggest surprise of the midterms.
Christina Applegate, a leading MS advocate, says doctors found she doesn’t have the disease after all
In her podcast about living with multiple sclerosis, the actor announced she’s actually been living with some other, unknown condition.
Top Entertainment Stocks To Research
SEA, Spotify Technology, Walt Disney, Verizon Communications, and Autodesk are the five Entertainment stocks to watch today, according to MarketBeat's stock screener tool. Entertainment stocks are shares of publicly traded companies involved in producing, distributing, or delivering entertainment,
Political Pulse: Independent candidate Rep. Peri Pourier runs on public safety for District 27 Senate
Independent candidate Peri Pourier is running for South Dakota's District 27 Senate seat on a platform of public safety and improving state and tribal relationships.
Philadelphia Union's Cavan Sullivan tops 22 Under 22 Rankings
By Justin Ruderman22 Under 22: Cavan Sullivan tops 2026 rankingsAmid a breakout 2026 season, Philadelphia Union midfielder Cavan Sullivan has secured the No. 1 spot on the annual MLS 22 Under 22 ranki...
Pistons Guarantee Ron Holland’s Fourth Year Before Tipoff
The Pistons settled Ron Holland's contract future hours before their season opener. #Pistons
Scientists discover a promising blood sugar–regulating compound in red alga
It is a dietary staple found in sushi, rice wraps and ramen toppings. Commonly known as nori in Japan and gim in Korea, red seaweed is especially popular across Asia. Yet, despite its widespread consumption, ...
USA TODAY Sports Super 10 California high school flag football rankings, Week 9
Here's how the state stacks up before the postseason takes hold this week.
Truist Financial Issues Pessimistic Forecast for Accel Entertainment (NYSE:ACEL) Stock Price
Truist Financial lowered their price target on shares of Accel Entertainment from $14.00 to $13.00 and set a "hold" rating on the stock in a research note on Tuesday.
As Summer Crowds Fade, Keystone Businesses Navigate the Annual Shift to Winter
After a summer defined by packed streets, Fourth of July festivities, and celebrations marking America’s 250th anniversary at nearby Mount Rushmore, the tourist hub of Keystone is settling into its quiet off-season
Moment of Science: New electric current test measures coffee quality without tasting
Getting a clue about the perfect brew! Here's how new research could make sure your morning pick-me-up is "not your average Joe". ☕
Ghosting Someone Might Actually Be Bad for Your Mental Health, According to Science
New research suggests people who ghost others often feel guilty afterward, while those left behind underestimate how much they care.
Jeremy Renner’s “Mayor of Kingstown” gets final season premiere date: A first look at season 5
The Paramount+ show will return next year.
Scientists left in the dark by National Science Foundation grant application delays
The Major Research Instrumentation program offers grants of up to $4 million to scientists buying research equipment
Interns In Florida Released A 16-Foot, 148-Pound Python Back Into The Everglades On Purpose. She Now Carries A Radio Tag For Drones To Follow - Futura-Sciences
In a state where around 100 contractors remove pythons all year round, letting one go looks like a mistake. It is how researchers find the others.
Orlando Magic season preview: Opening schedule, win projection and what to know for 2026-27
Indiana Pacers season preview: Opening schedule, win projection and what to know for 2026-27
Cleveland Cavaliers season preview: Opening schedule, win projection and what to know for 2026-27
Yahoo Sports midseason awards: Biggest surprises, disappointments, Heisman picks, title predictions and more
Brooklyn Nets season preview: Opening schedule, win projection and what to know for 2026-27
Toronto Raptors season preview: Opening schedule, win projection and what to know for 2026-27
Phoenix Suns season preview: Opening schedule, win projection and what to know for 2026-27
Oklahoma City Thunder season preview: Opening schedule, win projection and what to know for 2026-27
Retired Missouri S&T faculty members contribute $1 million to establish graduate fellowship in psychology
Retired Missouri S&T faculty members Dr. Robert L. Montgomery and Dr. Frances M. “Dee” Haemmerlie Montgomery have donated $1 million to establish a graduate fellowship in the department where they mentored hundreds of students throughout their careers. The Robert L. Montgomery and Frances M. Haemmerlie Graduate Fellowship in Psychology will support graduate student research in...Continue Reading Retired Missouri S&T faculty members contribute $1 million to establish graduate fellowship in psychology
Minnesota Timberwolves season preview: Opening schedule, win projection and what to know for 2026-27
Portland Trail Blazers season preview: Opening schedule, win projection and what to know for 2026-27
Understanding Intelligence Across Artificial and Biological Systems
Recently I started a new peer-reviewed journal at the crossroads of Artificial Intelligence and Cognition research. The journal, titled "AI and Brain", is published by Scilight Press, a young
Live Nation Entertainment (NYSE:LYV) Given Sell Rating at Cfra
Cfra restated a "sell" rating on shares of Live Nation Entertainment in a research report on Tuesday.
Citrini Research is backing life sciences stocks after using Claude to design proteins
The firm designed 211 proteins with Claude for lab testing; 17 bound to scorpion toxins, but blocking effects are untested
Nine State Board of Education seats are on the ballot this fall, including 4 in the Greater Houston Area
The state board of education is one of the most influential bodies shaping education across the state. The board sets curriculum and chooses instructional materials for all public school classrooms and in recent years has been scrutinized for its controversial choices.
Tracking Military Health Through the Millennium Cohort Study
Why it matters * Long-term evidence strengthens military health and readiness * Research turns service members' experiences into better care * Findings have informed policy, prevention and screeningNORTHAMPTON, MA / ACCESS Newswire / October 20, 2026 / For more than three decades, has helped federal military leaders turn health questions into evidence that improves care and readiness. The Millennium Cohort Study shows that work in action, helping agencies better understand health challenges and
HOMETOWN HEALTH: Researchers identify new clues for treating type 2 diabetes
The study's authors say this could be developed into new treatments that could help people regulate their blood sugar.
Looking at 2026 season report card for Padres players
News to know about your San Diego Padres and MLB for October 20, 2026.
Amazon looks to add 300K seasonal workers
Amazon is hiring more seasonal workers than ever and will soon offer health benefits on day one for all employees.
Christina Applegate Tearfully Shares She Was Misdiagnosed With MS: ‘Back at Square One’
The actor shared the stunning news that five years after she was given a diagnosis of multiple sclerosis, her doctor told her she does not have the disease.
Chinese scientists find neurons may act as minicomputers to help decision-making
Researchers find evidence that suggests neural activity can guide the way the brain adapts to different sensory experiences.
Antigravity just halved the price of its drone — by swapping its headset for wristwatch control
$800 now buys you a follow-me drone instead of an FPV flight experience.
Seattle Art Museum renovations: Peek inside at construction
An $8.1 million project is underway at Seattle’s flagship art museum, adding more public spaces to gather, work and dine at the museum. Take a peek!
Law & Order: College Basketball — How the NCAA's eligibility rules have created chaos before the season's even begun
As the college basketball season quickly approaches, many schools are still trying to fill out their rosters as they navigate legal challenges to NCAA eligibility rules.
Revisiting Brewers' Adames Trade Which Included Rays' Rasmussen
The Milwaukee Brewers transformed their infield with a midseason swap, but the Tampa Bay Rays struck gold by turning a struggling reliever into a dominant ace.
Indian scientists identify Martian analogue sites
Kerala researchers identify Martian analogue sites in Tamil Nadu and Atacama Desert via hydrous sulfates, aiding Mars paleoenvironments study.
Could AI Use a Simple Photo of Your Face to Reveal Clues About Your Health?
A new AI model can estimate biological age and predict cancer survival outcomes using a simple photo of a patient’s face, though more research is needed before doctors will be able to use it to help them decide on treatments.
Guardians News: So, A Long Offseason Begins
News and Notes for Tuesday, October 20th, 2026
Western Way Entertainment brings trick riding, mounted shooting to ABAC PCA Pro Rodeo
When the PCA Pro Rodeo returns to Abraham Baldwin Agricultural College Nov. 13-14, the competition inside the arena won’t be the only thing keeping fans on the edge of their seats.
Zapata Quantum Adds Peter Shor and Three Scientists to Advisory Board
Zapata Quantum has appointed Peter Shor and three researchers to its advisory board, adding expertise in quantum algorithms, error correction
FSU 175: Florida State's research legacy spans generations of discovery
From pioneering cancer research and building the world’s most powerful magnets to expanding the frontiers of health, engineering and the arts, Florida
Digital Science and Sunmedia Partner to Bring Research Impact Reporting to Japan's Medical Affairs Teams
Digital Science today announced a partnership with Sunmedia to help medical affairs teams across Japan understand the impact of their research.
Beyond Moneyball: What the Milwaukee Brewers Can Teach Businesses About Teamwork
The Milwaukee Brewers’ sweep of the defending champion Los Angeles Dodgers stunned the baseball world. But the series also showed that assembling the biggest collection of stars isn’t the only path to success, says University of Delaware researcher Kyle Emich. The Brewers' run to the World Series – which continues this week against the Tampa Bay Rays – demonstrates how a team can combine its strengths, adapt to an opponent and operate as a system, Emich says. That same p
Start-Up Claims to Treat a Patient With A.I.-Created Viruses
Certain viruses attack bacteria and can sometimes clear antibiotic-resistant infections. Researchers said they had tailored a virus to attack one patient’s illness.
Bulls' Caleb Wilson Embracing Patience, Despite Glimpses of Stardom
Chicago's No. 4 overall pick is looking forward to his NBA regular season debut on Wednesday night.
AI is Changing Science: Here’s What Journalists Need to Know
Researchers are rapidly adopting AI for everything from data analysis to planning and executing entire research studies. Journalists will need to keep up. That means learning the basic principles, strengths, and weaknesses of the diverse technologies labeled as “AI”—and how to tell when using AI in science is actually noteworthy. Luckily for science reporters, knowing your beat well can help you cut through the hype.
Scientists finally uncover why statins can cause muscle pain
Scientists have uncovered a surprising reason why statins, the widely prescribed cholesterol-lowering drugs that help prevent heart attacks and strokes, can sometimes cause muscle pain, weakness, and even severe muscle damage. Using advanced imaging technology, researchers discovered that statins can attach to a crucial protein in muscle cells and force open a channel that normally controls calcium flow. This causes calcium to leak continuously, potentially damaging muscle tissue.
Bickerstaff’s Pistons Open Against a Reshaped Boston Celtics
Detroit tips off the NBA season Tuesday against a Boston team that remade itself this summer. #Pistons
This institute could get $4 billion from a ballot measure. With just three workers, is it ready?
If California voters approve it, Prop. 38 will direct $4 billion to one research institute. Only one institute currently qualifies for the money.
NBA games on TV today: Schedule, times, TV channels, live streams to watch every team's season opener
Basketball is finally back. Here's when and where to watch every team's season opener.
Post-Shanghai ATP Power Rankings: Alexander Zverev Takes Charge
As you already know, this is not the ATP rankings list; rather, these are ATP power rankings that combine 2026 results, recent form, performance against elite opposition, current fitness, and the level each player is realistically capable of producing during the final stretch of the season. The picture has changed considerably since our pre-Wimbledon rankings. …
Midseason report card grade for USC football special teams
Trent Mosley, in the return game alone (not counting what he does as a receiver), takes the Trojans' special teams unit to the next level
UConn Researcher’s Insight on Small-Business Bankruptcy Recovery Draws the Attention of Congress
'Small businesses are an important part of the economy, but financial distress does not necessarily mean that the underlying business isn’t worthwhile& ...
Halloween event at The Castle features science behind spooky season
Museum offers hands-on activities with live animals, skeletons and pumpkins.
NBA live streams: How to watch basketball games without cable in 2026-27 season
Here's how to watch NBA basketball without cable, including the best streaming options for each game of the 2026-27 season.