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New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs

The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl ​COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.

Oct 20 • 7:44 PM EDT • Science • applevalleynewsnow.com

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.

Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com

Great Lakes Science Center’s Robotics Initiative receives $1 million gift

A $1 million endowment from the Thomas F. Peterson Jr. Charitable Trust will fund robotics education and 3-D printed prosthetics for those in need.

Oct 20 • 11:24 AM EDT • Science • cleveland.com

A Delivery Robot Caught My Eye in Miami. Here's What It Revealed About the Future of Business

Delivery robots reveal how AI-driven innovation can transform customer experiences, unlock revenue opportunities, and help businesses grow.

Oct 20 • 10:00 AM EDT • Business • inc.com

Advanced materials firm founded by LANL veteran moves into Nambé facility

Discovery 2 Scale is working with AI to develop new materials for national security applications and using robotics to test and manufacture them.

Oct 19 • 9:30 PM EDT • Business • santafenewmexican.com

Japan launches spacecraft to Mars' moon in mission to bring back soil samples

Five of the world's space agencies have joined forces for the five-year mission that will attempt to land a robotic prospector plus a rover on Phobos, the larger of Mars' two moons.

Oct 19 • 4:54 PM EDT • Science • pbs.org

Great Lakes Science Center receives a $1M donation towards its robotics program

Oct 19 • 4:00 PM EDT • Science • wkyc.com

A Look at the Future with Science Fiction Author Daniel H. Wilson

Daniel H. Wilson is a roboticist, and bestselling author of science fiction and techno-thrillers. A few of his bestsellers include Robopocalypse, techno-thriller about a global AI uprising and humanity's fight for survival. Also, Hole in the Sky, a Native first-contact story set on Cherokee Nation land in Oklahoma.

Oct 18 • 1:17 PM EDT • Science • fox2detroit.com

Hundreds of Families Turn Out for Celebrate Science Indiana Festival

The October 10th event allowed children and parents the opportunity to conduct science experiments, learn about robotics, and more. The 15th annual Celebrate Science Indiana Festival brought together ...

Oct 18 • 1:00 PM EDT • Science • yahoo.com

Hundreds of Families Turn Out for Celebrate Science Indiana Festival

The October 10th event allowed children and parents the opportunity to conduct science experiments, learn about robotics, and more. The 15th annual Celebrate Science Indiana Festival brought together thousands of students, families, educators, and science enthusiasts to the Indiana State Fairgrounds for a day of hands-on learning and exploration. Organized by the Science Education Foundation […]

Oct 18 • 1:00 PM EDT • Science • wishtv.com

AI, Robots, and Jobs: Why Gardeners May Still Be Safe

Anthropic's robotics research puts more hands-on jobs in AI's path. But messy tasks such as gardening remain hard to automate.

Oct 17 • 10:00 AM EDT • Business • businessinsider.com

Rivian CEO RJ Scaringe Says Physical AI Will Have Its ‘Science Fiction’ Moment by 2030

Speaking at the Inc. 5000 Conference & Gala, Scaringe said that transformative changes in robotics are set to happen soon.

Oct 16 • 3:00 PM EDT • Science • inc-1-smart-business-story.beehiiv.com

Robots could boost US manufacturing as America races to keep pace with China, expert says

A Path Robotics executive told FOX Business that automation will be critical to expanding U.S. manufacturing as worker shortages persist and China moves faster to adopt robotics.

Oct 16 • 11:13 AM EDT • Business • foxbusiness.com

Artemis II results show how much science people can do at the moon

We’ve studied the moon with robotic spacecraft for decades. What do human observers add? Artemis II’s first science results offer some answers.

Oct 16 • 9:00 AM EDT • Science • sciencenews.org

Rivian CEO RJ Scaringe Says Physical AI Will Have Its 'Science Fiction' Moment by 2030

Speaking at the Inc. 5000 Conference & Gala, Scaringe said that transformative changes in robotics are set to happen soon.

Oct 15 • 1:54 PM EDT • Science • inc.com

HOW I GOT STARTED: Jim Brooker

Owner of Starlight MFG Solutions in Fulton was vice president at Otis Technology in Phoenix — until the company closed locally. He then decided to open his own shop. “We are pretty much doubling in size each year so far,” he says By Stefan Yablonski Q: When did you start this business” A: I started Starlight MFG Solutions LLC while I was working at another government contractor. I was vice president of engineering at Otis Technology at their Phoenix location until they closed that facility due to a shift in business at the end of 2023. While at Otis, I was also working on Starlight on a part-time basis. I gained a lot of exposure to a lot of different equipment. That is the kind of service we provided to Otis when we were a part of them. Now we have spun that whole concept off here. Q: How would you describe it? A: It’s a manufacturing engineering firm specializing in custom automation to serve as an outsourced engineering support for companies that need additional resources. I want to make it a sustainable business that can partner with local manufacturers to help them. Q: What is your background; did you go to college with this in mind? A: I am a graduate of Rochester Institute of Technology with both a bachelor’s and master’s degree. My B.S. from RIT was in manufacturing engineering technology and my MS from RIT was in manufacturing and mechanical systems integration with a minor in business. Q: Why this type of business? A: I identified a large gap in the market for companies that needed small to medium help with manufacturing projects. Q: What services do you offer? A: We are focusing more on manufacturing. We do a lot of robotics, we do laser marking, we do filling — pretty much anything that the customer needs. Q: Have you seen any growth since you started? A: Yes. We have been growing ever since the company started. Our specialties include robotics, vision inspection and guidance, rotary-indexing workcells, dispense systems, laser marking, machine tending and more. We provide support to companies that need additional resources. We moved to a facility in Fulton about a year and a half ago. We are leasing our space in Fulton — the former NET & Die facility. We bought our own equipment, we are leasing the space. We have been operating here since early 2024. Q: You’re ready to take on bigger jobs? A: We want to stay in the small to medium size market where the large players don’t want to play. That is kind of where we found our niche. We are expanding regionally to take on more of those projects. My customers are relatively small business. They don’t have in-house automation; engineering and development teams are not feasible. Q: Business has been doing well? A: I am pretty satisfied about where we are at. We are definitely growing year to year. We are pretty much doubling in size each year so far. We are self-sustaining. Q: How busy are you on any given day? A: How busy? That’s kind of relative. We average between three and five projects going on in the shop at any time. We have a backlog that is manageable. We have seen a great demand for laser marking. The work is very relationship-driven. Much of it is based on referrals from other customers. Q: So, you must have a pretty big staff? A: No. I have just one other full-time person, a colleague from Otis. I bring in other people as the projects dictate. I handle sales and the overall operation of the manufacturing processes. We use outside sources for some work. We aren’t afraid to take on the other jobs — but we are filling our niche pretty well. Q: Do you get tired? A: I don’t get tired, no not really. Before this I ran a facility in Phoenix for 12 years. I enjoy solving problems and that part of the job is still my favorite. I have a supportive family life at home that definitely helps a lot. I just love the challenge of it. Q: Do you still live in the area? A: Yes. I live in Phoenix, town of Lysander. Q: What is the biggest job you’ve done? A: We have done some that were pretty good size. I don’t want to get into dollar amounts, don’t want to share gross revenue. We try to use locally sourced components. It is just amazing the components you can find that are locally produced.

Oct 14 • 8:23 AM EDT • Business • oswegocountybusiness.com

PROFILE: Ben Sio

New President of CenterState CEO Brings Nearly Two Decades of Experience to Drive CNY Growth By Stefan Yablonski Ben Sio serves as president of the CenterState Corporation for Economic Opportunity — or CenterState CEO. The independent Syracuse-based nonprofit is committed to creating inclusive, equitable and sustainable economic growth in Central New York. “I started in this position in March, so it has been six months. I’m in my 19th year with CenterState,” he said in August. As president, he is responsible for overseeing the organization’s administration and governance, while leading and executing its vision to be an effective advocate, exceptional employer and a force for positive outcomes for the community. He previously served as chief of staff and senior vice president of strategy, policy and planning, overseeing the organization’s long-term strategic planning, consulting, corporate governance, fundraising and development, land-use planning and government relations. In his years with the organization, Sio has led or supported many high-profile strategic initiatives including the creation of the CNY Rising Plan, the launch of the NUAIR Alliance and the region’s UAS strategy, the creation of the Micron-enabled Community Priorities Document and the recently awarded NY Smart I Corridor Tech Hub. “When we decided to split Rob’s [Simpson] role into two positions, he has the CEO title and I got the president title. Rob remains focused on forward looking vision strategy for the organization and I’m more focused on the day-to-day operations,” he explained. “I’m also responsible for building consensus around strategic needs and priorities and managing the change necessary to drive execution. It’s an eventful job. “The experiment that we call CenterState is always evolving and shifting and addressing where we see market demand and market failure. “If we see something in our economy that isn’t going the way we think it should go, then whether it is housing development or workforce development or something else, we are always figuring out how to step into these situations and address those challenges.” “We are the largest ever in terms of staff that we have ever been. We are no longer the 20-person organization we were when we started out many, many years ago,” he said. “There are more day-to-day things to take care of. But also there is just so much happening in the community right now that is pulling CenterState and our expertise in so many directions. I tell people if we were bored and not busy, then I’d be really concerned about what we are doing. But we are not bored. We’ve certainly got our hands full — and that is a good thing.” CenterState has now approximately 63 employees on its staff, according to recent nonprofit database records. It’s involved in myriad programs, ranging from Genius NY, a business accelerator competition for uncrewed systems, IoT and robotics startups, to CenterState Up Start, a collaborative business development program that connects local, service-based businesses and aspiring entrepreneurs to the tools and networks that help them thrive. CNY Guy Through and Through A Central New York guy through and through, Sio was born and raised in Skaneateles. “My mom was a teacher, an art teacher. My father worked for many, many years with National Grid. He was there through the transition from Niagara Mohawk to National Grid,” he said. “Neither of my parents were touched by cutbacks and job loss. But I grew up going through that transition and being concerned that there were rounds of layoffs. My childhood connection to the economy here in Central New York … years ago it was on the decline. There were people that lived here that were concerned about losing their job. They were thinking they lived in a place that didn’t show much promise.” That narrative translated to his generation, he added. “The kids that grew up in the ‘90s in Central New York were very much told, directly or indirectly, by their parents, that they had to go somewhere else to find economic opportunity. That is what I grew up thinking,” he said. “I only went a few miles down Route 20 for college — in Geneva, New York; I graduated from Hobart and William Smith College with a bachelor’s degree in public policy and political science. “I got real interested in regional economies; because what makes regional economy is what makes the economy successful. And when I graduated, I had an opportunity to move to Washington, DC and work down there at a nonprofit doing this work.” However, he decided to stay in Central New York. “I got hired two weeks after I graduated. I got hired by the Greater Syracuse Chamber of Commerce. At the time it was one of two entities doing economic development in Central New York — [the Greater Syracuse Chamber of Commerce and the Metropolitan Development Association] — and it eventually became CenterState CEO,” he said, referring to 2010 merger between the two organizations. During his time at CenterState, Sio has also split time at the Brookings Institution in Washington, D.C., where he supported communities developing export and foreign direct investment (FDI), a long-term cross-border investment where an individual or company from one country buys a lasting stake or control in a business located in another country. The program — known as Global Cities Initiative — was designed to help leaders in major U.S. and international metropolitan areas reorient their local economies toward global markets. “Early on in my tenure at CenterState, we had done a lot of work with the Brookings Institution, just regional planning stuff. We worked with them on developing a regional export plan, to export more products out of Central New York and a larger business plan for the region. They hired me on to help replicate those plans in different parts of the country,”Sio explained. “So, I worked there for three or four years. I worked for CenterState, but I was technically loaned to Brookings for a period of time to help them do this work elsewhere.” Family ties “My wife is Carly. We have been married 14 years. We have two kids, a 3-year-old and a 7-year-old. “With a 3-year-old and a 7-year-old, fun is a relative term these days. We do a lot of hiking. The kids this summer got very interested in waterfalls. We’ve hit every waterfall we could in a short hike — we’ve done Skaneateles and some others.” “I do woodworking and wood turning — it’s a branch of woodworking; you use a wood lathe. My big thing there is making wood bowls. I do that in most of my free time, which is not much,” he quipped. “I like to get into my woodshop and make a bowl and decompress and turn off the rest of the world for a little bit. I usually do it late at night when the house is quiet. It is definitely my escape from the day to day. I make a lot of bowls; all different sizes, all different species of wood. It’s a fun thing to do for me.” He gives away many of his creations. “They are mostly gifts — I don’t really sell them. I really don’t have time to go set up a booth at a fair or craft show. I usually give them away. I donate them to different things. If you are in my periphery, you’ve likely received a salad bowl from me as a gift. I just need to find something to do with all the stuff that I create,” he said. Lifelines Name: Benjamin Sio Position: President, CenterState CEO Birth Date: Not provided Birth place: Syracuse Residence: Westvale Education: Hobart and William Smith Colleges in the Finger Lakes Affiliations: Member of the boards of Skaneateles Festival, Greccio Foundation, Interfaith Works, CNY Community Foundation Personal/family: Married with two kids Hobbies: Woodworking and woodturning

Oct 14 • 8:23 AM EDT • Business • oswegocountybusiness.com

A robotics business is set to be bought with shares priced about 50% above the buyer's Oct. 12 close.

The deal also includes up to $10 million in equity financing; both transactions remain subject to closing conditions, with closings expected by October's end.

Oct 14 • 7:30 AM EDT • Business • stocktitan.net

E3 Robotics Center’s Science Spooktacular Set For Oct. 31

E3 Robotics Center will host its sixth annual Science Spooktacular from 10 a.m. to 4 p.m. Saturday, Oct. 31, at the Elkhart County 4-H Fairgrounds....

Oct 13 • 11:30 AM EDT • Science • inkfreenews.com

AI Agents and the Rise of the Lab-in-the-Loop

Automation and robotics enabled the self-driving lab, but these largely follow pre-defined workflows. In this Q&A, Mark Fish explains how AI agents enable the "Lab-in-the-Loop" approach, which could accelerate life science research.

Oct 13 • 8:00 AM EDT • Science • technologynetworks.com

Honda lends a helping hand to the next generation of roboticists

Honda did not just lend Arizona State University students a lab bench this September. It lent them a hand.A very advanced one.

Oct 12 • 1:15 PM EDT • Science • news.asu.edu

PhoneBot gives old smartphones a new job on two legs

Smartphones combine cameras, motion sensors and powerful processors in devices that fit inside a pocket. These features could also make them useful components for robots, reducing the need to buy and ...

Oct 8 • 4:20 PM EDT • Technology • techxplore.com

Renowned Mote Marine Science and Education Center Opens New Aquarium in Sarasota Using Penetron Technology

Situated on a 12-acre site within Nathan Benderson Park in Sarasota, the Mote SEA campus features state-of-the-art STEM teaching labs for biomedical science, microbiology and immunology; marine and coastal ecology; and ocean engineering, AI technology, robotics, and sensor development. These labs provide hands-on learning opportunities for more than 70,000 K–12 students each year from Sarasota and Manatee County schools, as well as schools in nearby counties.

Oct 8 • 12:33 PM EDT • Science • finance.yahoo.com

Free ‘STEAM the Block Party' aims to get DC youth involved in science, tech, arts

Drones, robotics, AI and more: The Steam the Block Party in Southeast D.C. on Friday, Oct. 9, from 10 a.m. to 2 p.m. aims to spark a love of science. Members of the Swaliga Foundation talk with News4’s Molette Green. Performers include UCB.

Oct 7 • 1:44 PM EDT • Science • nbcwashington.com

FireFly Robotics files for Nasdaq direct listing

FireFly Robotics, which makes electric turfgrass harvesters and autonomous golf-course mowers, on Wednesday filed to go public ​through a direct listing.

Oct 7 • 1:20 PM EDT • Business • reuters.com

Robotics Company Advanced Navigation Expands Navigation Technology Manufacturing To Huntsville

It also applies to navigation.

Oct 7 • 7:00 AM EDT • Business • huntsvillebusinessjournal.com

More than 1,000 students explore STEM careers through hands-on experiments at Science Museum

More than 1,000 seventh graders are testing robotics, electricity and virtual reality at Science Museum Oklahoma's Innovation Week.

Oct 6 • 7:15 PM EDT • Science • koco.com

Georgia Tech And Amazon Launch Science Hub For AI, Robotics, And Logistics Research

Georgia Tech and Amazon have launched the Georgia Tech-Amazon Science Hub, expanding a decade-long research relationship between the university and technology company. Amazon will provide funding for joint research projects and community-building initiatives through the new hub.

Oct 4 • 8:34 PM EDT • Science • pulse2.com

Trinity Health Ann Arbor paves the way with new aortic valve procedure

Cardiac surgeons at Trinity Health Hospital in Ann Arbor are using robotic assistance to pave the way for a new aortic valve surgery procedure. WEMU’s Ana Longoria has the details.

Oct 3 • 8:33 AM EDT • Health • wemu.org

America wants to wean itself off Chinese technology. Will the pain pay off?

Seven years after founding a robotics startup in San Francisco, Rajat Bhageria is confronting a daunting new task: building robots without any help from China.

Oct 3 • 12:11 AM EDT • Business • cnn.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.

Oct 2 • 2:33 PM EDT • Health • forbes.com

Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs

Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share

Oct 2 • 1:57 PM EDT • Science • publisherpt.substack.com

Faraday Future Announces This Week’s Investor Weekly Report From YT Jia Has Been Rescheduled to September 28; FF EAI “Built in USA” Upstream & Downstream Business Partner Conference Part Two to Be Held September 29

FF Founder and Global CEO YT Jia’s Investor Weekly Report has been rescheduled for the afternoon of September 28 and will be released at its usual time. FF has invited 10 global partners to share insights on the EAI robotics industry, FF’s “Built in USA” strategy and related topics, highlighting the potential for collaboration between […]

Sep 27 • 11:27 PM EDT • Business • investors.ff.com

Spacecraft burns up in atmosphere after failing to rescue NASA telescope

The robotic spacecraft that failed to rescue an aging NASA telescope has plunged back to Earth, disintegrating in the atmosphere, less than three months after launching on the bold mission.

Sep 27 • 1:50 PM EDT • Science • latimes.com

Asimov's laws are not enough to keep robotics and AI safe

Asimov's fictional Three Laws of Robotics famously set safeguards, and tech observers today raise similar concerns about AI.

Sep 27 • 8:26 AM EDT • Business • therobotreport.com

Lord Have Mercy as Researchers Create Walking Disembodied Hand Like That Little Guy From "The Addams Family"

Researches have created a autonomous robotic hand that can walk around and support its own weight all by itself.

Sep 27 • 7:01 AM EDT • Technology • futurism.com

Fall 2026 Collaboratorium Connects Midwest Researchers with Business Expertise - Polsky Center for Entrepreneurship and Innovation

Bringing together scientific innovation and business talent from four leading Midwestern universities, the Fall 2026 Collaboratorium will feature 18 teams developing technologies in health care, energy storage, quantum computing, semiconductors, advanced materials, robotics, and more. Founded at the University of Chicago, the Collaboratorium now also features researchers from Northwestern University, Purdue University, and the University

Sep 25 • 10:59 AM EDT • Business • polsky.uchicago.edu

A 14-year-old in a Colorado farm town built a robotic hand from LEGO bricks, fishing line and surgical tubing, then met a 7-year-old at a science fair wearing an $80,000 prosthetic arm she had already outgrown — his next version, 3D-printed, came in under $400, and NASA took him on as an intern at 17

When a teenager's LEGO creation outperformed a prosthetic costing two hundred times more, he realized the gap between innovation and access wasn't about engineering—it was about economics.

Sep 21 • 11:19 PM EDT • Science • scienceblog.com

A 12-year-old in California built a Braille printer from a $350 Lego robotics kit for a school science fair, at a time when the cheapest commercial machine cost about $2,000, and Intel invested in it

When a middle schooler cracked an accessibility problem that the technology industry had left unsolved for decades, major investors took notice.

Sep 21 • 11:05 PM EDT • Science • scienceblog.com

Arch Manning's changed demeanor on full display in Monday presser

The days of "off-the-cuff" Arch Manning are over. But after his controversy, the Texas QB is now robotic and emotionless.

Sep 21 • 4:36 PM EDT • Sports • sports.yahoo.com

University of Washington launches new Master of Science in Robotics

This autumn, the University of Washington (UW) is launching a Master of Science in Robotics, a 38-credit degree designed to meet the demands of one of the fastest-growing careers in technology.

Sep 18 • 7:51 PM EDT • Science • nwasianweekly.com

Fire Awards spotlights Austin founders building satellites, AI infrastructure and next-gen healthcare

Austin's startup scene celebrates innovation with Fire Awards honoring 40 companies advancing AI, robotics, healthcare and energy technology.

Sep 17 • 8:22 AM EDT • Business • bizjournals.com

Robotic lab sets up and runs optics experiments on demand

The process of building and running an optics experiment to analyze a material’s properties could one day be fully automated, MIT scientists say. Taking a step toward such a future, they developed a reconfigurable, robotic optics laboratory.

Sep 17 • 8:00 AM EDT • Science • eurekalert.org

The Missing Science Of Robotic Systems

More capable robots require systems that realize capabilities through appropriate paradigms, compose them across time, distribute them across heterogeneous compute, and govern them under explicit constraints.

Sep 16 • 3:04 AM EDT • Science • semiengineering.com

Technologies, Math Research Get Lift from CAREER Awards

By Office of Media Relations | Dr. Waseem Abbas, assistant professor of systems engineering in the Erik Jonsson School of Engineering and Computer Science, uses lightweight modular small quadcopters, a type of drone, for indoor aerial robotics research. Abbas received a Faculty Early Career Development Program award from the National Science Foundation to support his work […]

Sep 16 • 2:00 AM EDT • Science • news.utdallas.edu

Robots and AI find a hidden reaction inside 135-year-old chemistry

Chemical reactions are often written as simple equations: starting materials go in, and a product comes out. In reality, the samesubstrates can follow many different pathways depending on their concentrations, temperature, catalysts, and other conditions. Exploring all of these possibilities by hand is practically impossible. Now, advances in laboratory automation and chemical artificial intelligence are allowing researchers to systematically map this vast “reaction hyperspace”—and uncover chemistry that may have remained hidden even in reactions studied for more than a century. To address this question, scientists led by Prof. Bartosz A. GRZYBOWSKI, Director of the Center for Algorithmic and Robotized Synthesis within the Institute for Basic Science (IBS) used an automated robotic platform to explore 960 different sets of conditions for the Biginelli reaction, a classic multicomponent reaction first reported in 1891.

Sep 15 • 8:00 AM EDT • Science • eurekalert.org

INPEX CEO explains how AI will 'completely transform' its business

INPEX CEO Takayuki Ueda discusses how AI and robotics could shape the company's exploration, drilling and operations, as well as the challenge of keeping pace with rapid technological change.

Sep 15 • 12:33 AM EDT • Business • cnbc.com

Super science: STEM on full display at annual Endress+Hauser career and education forum

Robotic creations zoomed across the floor, dodging students and their parents while completing tasks.

Sep 14 • 2:56 PM EDT • Science • dailyjournal.net

Robots reshape the future of homebuilding

America’s housing industry is facing a severe labor shortage and a longstanding productivity problem, creating growing interest in robotics and automation to increase homebuilding capacity, CNBC reports. The U.S. is short roughly 1.2 million homes, while nearly 300,000 construction jobs were open at the end of 2025. Labor shortages cost builders an estimated $11 billion […]

Sep 14 • 10:51 AM EDT • Business • businessreport.com

CEO Jensen Huang offers candid advice to departing Nvidia staff

Nvidia CEO Jensen Huang gives blunt feedback to departing employees, influencing startups like Flexion Robotics and INT21 with direct insights.

Sep 13 • 5:00 AM EDT • Business • businessinsider.com

Skilled Nursing Dealbook: Norbert Health Raises $14M to Scale Robotic Care; Black Pearl Completes Tender Offer for Selectis

Investment group Black Pearl completed a tender offer for Selectis Health. Meanwhile, Norbert Health raised $14M in Series A funding to expand robotic

Sep 11 • 6:15 PM EDT • Health • skillednursingnews.com

Garry Tan urges separating ‘science fact from science fiction’ amid AI doomsday fears

CNBC’s Kate Rooney sat down for an exclusive interview with Y Combinator CEO Garry Tan to discuss the boom in so-called “hard tech” robotics startups. And discussing the increasingly heated debate over AI safety and how Silicon Valley should handle the rapidly advancing technology.

Sep 10 • 3:15 PM EDT • Science • cnbc.com

Boston Dynamics spinoff looks to build robots for entertainment

Dynamic Creatures is building theme park robots on Chinese hardware. Europe's own social robotics champion was sold to a Shenzhen buyer last year.

Sep 9 • 2:38 PM EDT • Entertainment • thenextweb.com

Dynamic Creatures Emerges from Stealth to Launch New Category of Mobile, Interactive Character Robots for Hospitality and Entertainment

Founded by former Boston Dynamics, Google, and Robotics and AI Institute leaders, company launches with an official Boston Dynamics partnership and major theme park engagementBOSTON, Sept. 08, 2026 (GLOBE NEWSWIRE) -- Dynamic Creatures, a robotics company designing and building interactive character robots for entertainment and hospitality brands, today emerged from stealth. The company is creating a new category of mobile characters that move naturally through guest environments, understand the

Sep 8 • 7:53 AM EDT • Entertainment • finance.yahoo.com

Marshall Health performs first roboticassisted shoulder replacement surgery in WV

HUNTINGTON, W.Va. — Marshall Health Network Orthopaedic Surgeon John J. Jasko, M.D., performed West Virginia’s first robotic arm-assisted shoulder replacement surgery using Mako SmartRobotics this week. Known as Mako Shoulder, […]

Sep 7 • 12:00 AM EDT • Health • irontontribune.com

Anthropic’s Claude Can Now Autonomously Run Science Experiments With Lab Equipment

A new system allows agents to orchestrate complex experimental processes and extends Anthropic's reach into the physical world.

Sep 4 • 3:08 PM EDT • Science • singularityhub.com

Commercial Spacecraft for NASA’s Swift Boost Continues Tech Demo

This week, Katalyst Space conducted in-space tests and maneuvers to exercise the capabilities of its robotic servicing spacecraft, LINK.

Sep 4 • 2:15 PM EDT • Science • science.nasa.gov

NSF launches three new Science and Technology Centers with $90M investment in transformative research

The U.S. National Science Foundation is investing $90 million over five years to support three new NSF Science and Technology Centers (NSF STC). These centers will advance American leadership in science and technology, strengthen the nation’s STEM workforce, and accelerate innovation in fields ranging from artificial intelligence and biotechnology to fusion energy and robotics., , , , The three centers will bring together researchers from universities, national laboratories, industry, and oth...

Aug 31 • 8:00 PM EDT • Science • webwire.com

Seoul National University of Science and Technology Develops AI Framework to Test and Improve Vision-System Robustness

/PRNewswire/ -- In computer vision and robotics, ensuring that AI systems remain reliable under real-world conditions is a growing challenge. Deep neural...

Aug 31 • 9:03 AM EDT • Science • prnewswire.com

U.S. Special Envoy for Global Partnerships Paolo Zampolli’s Meeting with Uzbekistan's Minister of Sports and National Olympic Committee

U.S. Special Envoy for Global Partnerships Paolo Zampolli’s Meeting with Uzbekistan’s Minister of Sports and National Olympic Committee Tashkent, Uzbekistan – August 31, 2026 – U.S. Special Envoy for Global Partnerships Paolo Zampolli met with the leadership of the Ministry of Sports and the National Olympic Committee (NOC) of Uzbekistan to discuss the current state of the U.S.-Uzbekistan sports cooperation and prospects for its continued growth. Discussions focused on strengthening international sports cooperation, advancing the Olympic movement, and identifying promising joint projects. Special Envoy Zampolli congratulated Uzbekistan on its selection as the host of the 2027 World Fencing Championships and welcomed Uzbekistan’s possible participation in a planned World Robotics Organization. Special Envoy Zampolli also congratulated the people of Uzbekistan on the 35th anniversary of the country’s independence. “Sport brings people together like nothing else,” said Special Envoy Zampolli. This engagement builds on Special Envoy Zampolli’s prior meetings with Uzbekistan’s national sports leaders and teams and reflects the United States’ sustained commitment to sports diplomacy as a bridge for cultural exchange and international cooperation.

Aug 31 • 8:46 AM EDT • Sports • uz.usembassy.gov

Hugging Face says Microduck sales topped $2.6 million in 24 hours

The future of robotics can waddle. Hugging Face said its bot-maker, Pollen Robotics, recorded over $2.6 million in sales of Microducks in 24 hours.

Aug 28 • 12:43 PM EDT • Business • businessinsider.com

Scripps Research and collaborators awarded $19.5 million to establish an open-access autonomous chemistry laboratory

A new award from the U.S. National Science Foundation (NSF) totaling $19.5 million over four years will expand robotic systems, analytical instrumentation and dedicated staff at the Automated Synthesis Facility at Scripps Research by supporting a collaborative effort among Scripps Research, UCLA and Sunthetics (an AI-for-chemistry company) to establish a nationally accessible, fully automated chemistry laboratory. This “Chemistry Node” will be one of 20 AI-enabled NSF Test Bed: Toward a Network of Programmable Cloud Laboratory (NSF PCL) nodes across the United States, which will test, scale and demonstrate new methods and tools that advance automated science and engineering, driving discoveries across a wide range of fields.

Aug 26 • 8:00 AM EDT • Science • eurekalert.org

3 key takeaways from Bill Gates' stark warning about AI and jobs

Bill Gates warned that a coming robotics boom could reshape construction, hospitality, and the social contract.

Aug 26 • 5:05 AM EDT • Business • businessinsider.com

‘Smart’ diabetes probiotic; China’s missile AI tracker: 7 science highlights

From a proposed South China Sea robotic fortress to HIV cases at Wuhan port, here are some highlights from SCMP’s recent science reporting.

Aug 26 • 4:15 AM EDT • Science • scmp.com

BlackBerry CEO says robotics is one of its fastest-growing businesses

BlackBerry CEO John Giamatteo says robotics is one of QNX’s fastest-growing businesses as the company expands its software beyond cars.

Aug 25 • 5:26 AM EDT • Business • cnbc.com

Patients could see smaller incisions, shorter recoveries thanks to U.Va. Health robotic heart surgery program

U.Va. Health has launched Virginia’s first dedicated robotic heart surgery program as a less invasive alternative to traditional open-heart surgery.

Aug 24 • 3:14 PM EDT • Health • wtop.com

Xpeng says its robotics business raised over $900 million in first funding round

China's Xpeng ​said on Monday ‌its robotics business raised ​over $900 million ​in its first funding ⁠round, ​led by IDG ​and Gaorong Ventures and with Tencent ​and ​Alibaba as strategic investors.

Aug 24 • 5:40 AM EDT • Business • reuters.com

Xpeng says its robotics business raised over $900 million in first funding round

BEIJING, Aug 24 (Reuters) - China's Xpeng ​said on ‌Monday its robotics business raised over $900 ‌million ​in ⁠its first ⁠funding round, led by IDG and ​Gaorong Ventures and ⁠with ⁠Tencent and ​Alibaba as ​strategic investors. Xpeng's robotics ‌busine...

Aug 24 • 5:40 AM EDT • Business • kfgo.com

Three Vandalia Health hospitals earn SRC Network of Excellence designation in robotic surgery

Three Vandalia Health hospitals earned SRC’s Network of Excellence in Robotic Surgery designation, a first for West Virginia. The honor recognizes rigorous quality and safety standards, advanced technology and 14 distinguished surgeons.

Aug 23 • 8:49 PM EDT • Health • mybuckhannon.com

Three Binghamton University professors win prestigious NSF CAREER Awards

More than $1.8 million in grant funding will be used to pursue groundbreaking research in robotics, materials science, and urban planning.

Aug 19 • 8:00 PM EDT • Science • binghamton.edu

ECU Health surgeon first in state to use robotics during lung lobe removal

Dr. Robert Allman, a cardiothoracic surgeon with ECU Health, performed the lobectomies earlier this summer.

Aug 18 • 1:44 PM EDT • Health • witn.com

5 bizarre ways space experts want to clean up Earth’s orbit

Sticky satellites? Space harpoons? Robotic tentacles? Laser cannons? Space lassos? The fight against space junk continues

Aug 16 • 1:00 PM EDT • Science • sciencefocus.com

I used Gemini and Grok side-by-side for a month on Android; one clearly dominated

One assistant felt built for Android

Aug 16 • 12:15 PM EDT • Technology • androidpolice.com

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.

Aug 13 • 11:16 AM EDT • Science • press.airstreet.com

Northrop's robot space mechanic is a new way to keep satellites at work longer

The Mission Robotic Vehicle is making the first attempt to attach a new thruster to an aging satellite.

Aug 12 • 4:53 PM EDT • Technology • techcrunch.com

A robotic heart surgery specialist was fired by Main Line Health for blowing the whistle on complications, lawsuit

Gianluca Torregrossa joined Main Line Health in 2021 under a lucrative five-year contract. Now he is suing the health system, saying he was retaliated for exposing a pattern of bad patient outcomes.

Aug 12 • 3:40 PM EDT • Health • inquirer.com

Boaty McBoatface and pals’ perilous mission | Investors Lab

Operating within a global underwater robotics market valued at over $5 billion, the market is rich with manufacturers

Aug 12 • 9:00 AM EDT • Science • sciencenews.org

Robotics in electrophysiology: Are we near an inflection point?

Peter Weiss, MD, details the evolution of EP robotics, including the movement toward remote procedures.

Aug 10 • 5:23 PM EDT • Business • cardiovascularbusiness.com

Robot24.com Launches Global Robotics News Platform With Original Reporting, Business News and Correspondents on Every Continent

Robot24.com has launched as a new global robotics news platform dedicated to covering the companies, machines, people and technologies shaping t...

Aug 10 • 12:39 PM EDT • Business • markets.businessinsider.com

High Volume Robotic-Assisted Bronchoscopies Offer Patients Exceptional Expertise

Pennsylvania pulmonology team surpasses 1,300 procedures

Aug 10 • 8:00 AM EDT • Health • lvhn.org

University of Maryland science camp interns present research findings

After weeks of hard work, seven interns from the University of Maryland shared their research projects at a showcase on Friday. The group helped lead robotics and artificial intelligence camps

Aug 8 • 2:07 PM EDT • Science • somdnews.com

Robotics company raises $6M to help fund new vascular imaging platform

Vexev, an Australian medtech company, wants to improve patient access to high-quality vascular imaging. The company has now raised a total of $19 million.

Aug 6 • 4:36 PM EDT • Business • cardiovascularbusiness.com

Black Sons "Dreamers and Doers Camp" fosters kids love of Science

The six week camp gives rising third through eighth graders the opportunity to learn about robotics, coding and different STEM based careers.

Jul 31 • 7:08 PM EDT • Science • wmar2news.com

Robotic vacuums swept up in new US crackdown over national security risks

Some Roomba-style robotic vacuums are now covered under expanded FCC security restrictions targeting advanced foreign-made robotics tied to national security concerns.

Jul 30 • 5:01 PM EDT • Business • foxbusiness.com

Google DeepMind’s new AI model can control a robot’s entire body

The new model can help robots tie up trash bags and unscrew lightbulbs, too.

Jul 30 • 1:18 PM EDT • Technology • theverge.com

The FCC Just Banned Chinese Humanoid Robots. That's Not the Story Business Leaders Should Focus On

The real lesson behind the FCC's ban isn't politics—it's what China's robotics dominance reveals about cost, manufacturing scale, and competitive strategy. The FCC's ban on foreign-made humanoid robots grabbed headlines.

Jul 29 • 1:02 PM EDT • Business • inc.com

Orlando Science summer camp helps students build robots, real-world STEM skills

Orlando Science Schools Robotics Summer Camp teaches students STEM through hands-on work with robots.

Jul 27 • 7:14 AM EDT • Science • mynews13.com

Mexico's Science Secretary Strengthens Cooperation with China in Artificial Intelligence and Robotics

Rosaura Ruiz met with Ambassador Chen Daojiang to advance joint AI, semiconductor, and electromobility projects, plus possible collaboration with Huawei.

Jul 24 • 10:45 AM EDT • Science • mexicosolidarity.com

Surgeon hails new CABG technology as a 'technical breakthrough'

The new-look ELANA device from AMT Medical could simplify CABG procedures and help improve patient access to minimally invasive and robotic surgical techniques.

Jul 22 • 5:50 PM EDT • Business • cardiovascularbusiness.com

Shanghai science forum photos show China's AI and robotics advances in rivalry with US

BEIJING (AP) — China's leading technology companies showcased hundreds of cutting-edge products at the World AI Conference in Shanghai — from advanced robotics to artificial intelligence systems.

Jul 20 • 9:23 PM EDT • Science • wral.com

Shanghai science forum photos show China's AI and robotics advances in rivalry with US

BEIJING (AP) — China's leading technology companies showcased hundreds of cutting-edge products at the

Jul 20 • 9:22 PM EDT • Science • semissourian.com

Kraken Robotics Announces $35 Million in New Orders and Business Update

Year-to-Date the Company has Announced $327 Million in Combined Product OrdersTORONTO, July 20, 2026 (GLOBE NEWSWIRE) -- Kraken Robotics Inc. (“Kraken” or the “Company”) (TSX-V: PNG, OTCQB: KRKNF) is pleased to announce continued momentum with $35 million in new product orders from customers in maritime defense, offshore energy, and ocean science. By technology solution, these orders are across navigation and positioning systems, multi-aperture sonar, positioning, and monitoring systems from Cov

Jul 20 • 6:30 AM EDT • Business • finance.yahoo.com

Doctors in Royal Oak perform world’s first single-port robotic heart surgery

Surgeons at Corewell Health in Metro Detroit have performed what the health system says is the world’s first documented single-port robotic mitral valve repair, a breakthrough they believe could help make heart surgery less invasive for some patients.

Jul 16 • 5:31 PM EDT • Health • clickondetroit.com

Heart surgeon makes history, performs first robotic procedure of its kind

A surgeon in Michigan has performed the world’s first single-port robotic mitral valve repair.

Jul 14 • 5:24 PM EDT • Business • cardiovascularbusiness.com