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How citizen science is tracking changes in shorelines around the world
An app and a camera phone are all that’s needed at more than 200 spots to help researchers monitor coastal areas
Left alone with nothing to do, AI agents started playing
MIT researchers marooned 13 AIs on a virtual island, and they responded by inventing games, mourning a lost ring and, eventually, getting better at their jobs.
Indian tech company eMudhra announces withdrawal from certificate business after security incident
The issue was publicized by cybersecurity researcher Scott Helme, who published a blog saying that instead of a random 384-bit number, one of the company's private keys was just the number four.
Something smells different as scientists send aromas over the internet
One day, you may be able to easily smell what you are looking at when browsing online. Sending smells over the internet has long been a dream, and while it may seem far-fetched, researchers have now taken ...
Nintendo Switch 2 Gets Its First Software-Only Jailbreak, With Help From OpenAI Codex
Sammy Hajhamid, a security researcher who goes by pepsipu online, has released ns2jb, a software-only jailbreak for the Nintendo Switch 2 that runs on the latest 23.0.1 firmware. To show it off, Hajhamid modded Mario Kart World, a Switch 2 exclusive, and also dropped Peter Griffin, Hatsune Miku,...
Stony Brook Researchers David Miloschewsky and Supartha Podder Resolve a Decades-Old Puzzle About the Limits of Quantum Computing
Finding a path through a maze is hard, even for quantum algorithms. A quantum computer can find the exit of a certain kind of maze far faster than a classical computer. But can it also give you directions? David Miloschewsky and Supartha Podder of Stony Brook University’s Department of Computer Science have proven that finding
Environmental engineers awarded $2.4M to study how abandoned wells impact health
A multi-institutional team of researchers, led by an engineer from Penn State, has been awarded a five-year, $2.4 million grant from the Pennsylvania Department of Energy to study the impacts that orphaned natural gas wells might have on the surrounding environment or communities.
eMudhra kills its certificate business after researchers cracked its private keys in under a second
eMudhra is shutting down its SSL/TLS certificate business after researchers cracked its intermediate private keys in under a second, prompting global browser bans.
Have scientists finally found a way to save the banana from disaster?
With the climate crisis and diseases threatening one of the world’s most popular fruits, researchers are hoping a breakthrough in breeding techniques could give the Cavendish banana a certain future
FAU Receives NSF Grant to Prepare Future AI, Robotics Workforce
FAU engineering researchers have received a $500,000 NSF grant to integrate AI, digital twins and robotics experimentation, advancing research and training in intelligent systems.
A revolutionary new microscope could reveal the hidden machinery of life
Researchers have developed a revolutionary microscope that uses an incredibly powerful laser to make previously invisible cellular structures easier to see. The technology dramatically improves image clarity, allowing scientists to examine small proteins that conventional electron microscopes struggle to capture. It could eventually reveal how tiny molecular machines interact inside cells, providing an unprecedented look at the hidden workings of life.
Birds are more afraid of women than men. Scientists have no idea why
Scientists have uncovered a strange pattern in urban bird behavior: Across five European countries and 37 species, birds consistently fled sooner when approached by women than men. Researchers have no clear explanation for the difference, raising intriguing questions about how birds recognize and respond to humans.
Dal researcher Dr. Rita Orji named Fellow of the International Science Council
Latest international recognition caps a remarkable stretch of honours and recognition for the Dal computer scientist, who has emerged as a global leader in responsible and human-centred AI.
Hugging Face’s New AI Biology Model Lets You Chat With DNA
The new open-source model speaks the language of DNA and can help researchers understand the effects of any changes on gene activity and health.
How AI is transforming research discovery in Web of Science
Web of Science is evolving to help researchers search, explore, and work with trusted literature in more flexible, transparent, and AI-supported ways.
Digital Science Helps Japanese Medical Affairs Researchers Demonstrate Their Impact
Digital Science joined forces with Sunmedia, a scholarly information company in Tokyo, to help medical affairs teams across Japan understand their research impact.
Vanderbilt Health-led team maps gene variants that can cause sudden death
Vanderbilt Health researchers have created a “map” of 1,757 genetic variations that can trigger a life-threatening heart rhythm disorder called long QT syndrome.
Skipped Lunch? Science Explains Why You're Suddenly Craving Happy Hour
Researchers at Brown University found a molecular link between hunger and alcohol cravings.
Researchers call for coordinated action to protect European sleep health
A new paper from the Equality, Diversity and Inclusion Committee and the Early Career Network of the European Sleep Research Society warns that sleep health is becoming a growing public health challenge across Europe and is calling for coordinated action to protect it.
Study shows link between Alzheimer’s disease and gut health
Researchers found that people with higher levels of imidazole propionate (ImP), a compound produced by certain gut microbes, were more likely to show signs of Alzheimer’s disease.
Huck lecture series to feature bioengineering, environmental toxicology experts
The Huck Institutes of the Life Sciences will welcome two leading researchers to Penn State this fall as part of its Distinguished Lectures in Life Science series, with talks covering advances in regenerative medicine and the emerging science of nanoplastics exposure.
Scientists Discovered a Snake That Cartwheels Away From Danger, and It’s Hilarious
Researchers used high-speed cameras to reveal how a tiny Southeast Asian snake rolls away from danger at speeds far faster than slithering.
OHIO researchers Faiz Rahman, Savas Kaya receive $550,000 NSF award for next-generation nanolithography
Nanoscale and Quantum Phenomena Institute (NQPI) members Dr. Faiz Rahman and Dr. Savas Kaya recently received a new U.S. National Science Foundation award for their research.
<b>Doctors, engineers and computer scientists leave Israel.</b> Researchers sound alarm
The number of Israelis leaving the country has jumped by dozens of percent over the last three years, while the number of those returning has fallen. Researchers warn of a collapse of the Israeli economy if the trend continues
OpenAI acquired biotech startup Orchestra Bio to expand its life sciences AI tools
OpenAI will fold Orchestra's team and technology into Rosalind, its AI models and tools for life sciences researchers
How governments around the world are shaping what AI can say about politics
I’m a researcher at a nonpartisan think tank at Vanderbilt University, where I study free speech policy.
Kennesaw State researcher receives $250,000 NSF grant to enhance construction education
Kennesaw State University researcher Minsoo Baek has received a $250,000 National Science Foundation (NSF) grant to develop technology that could help construction management students navigate real-world challenges before entering the workforce.
Astronauts’ hearts just passed a surprising test for Mars
A new study tracking 13 astronauts suggests that the human heart may be surprisingly well equipped for a journey to Mars, especially with regular exercise during spaceflight. Researchers found that astronauts' hearts adapted to months of weightlessness and handled simulated Martian gravity without major problems, offering new hope for future missions to the Red Planet.
QED Science launches Insights Feed to filter research papers
“Researchers don't need another tool that gives them more papers to read,” says QED Science CEO Niv Mastboim, launching Insights Feed.
Researchers warn of growing threats to sleep health across Europe
A new paper from the Equality, Diversity and Inclusion Committee and the Early Career Network of the European Sleep Research Society warns that sleep health is becoming a growing public health challenge ...
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.
Could 'body clocks' play a role in depression? Study proposes a new 'circadian' subtype
Researchers propose a new subtype of depression linked to body-clock patterns.
Several S&T researchers among top 2% cited scientists in their fields
A total of 94 current and former researchers affiliated with Missouri S&T are among the world’s top 2% most-cited scientists recognized either for their career-long impact or for their 2025 metrics, according to a Stanford University analysis of the Elsevier Data Repository....Continue Reading Several S&T researchers among top 2% cited scientists in their fields
What does a healthy brain look like? Turns out it’s all relative.
Northeastern researchers explore how our closest ties affect brain health, and how understanding those bonds could change mental health care.
OpenAI acquires startup Orchestra Bio to beef up its biotech business
OpenAI says it's adding Orchestra's team and technology to work on Rosalind, its AI model for life sciences research, and to its related Rosalind Workbench tool, a harness that aims to help researchers plan experiments and analyze results.
Dream and mind-wandering reports could offer hints about mental health
Dreams and mind-wandering have long fascinated psychologists and researchers studying the human mind. This is partly because these experiences offer glimpses into people's inner lives, emotions, past ...
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.
Powerhouse UCSB team awarded big grant to investigate mathematical foundations of AI
Researchers Nina Miolane, Haewon Jeong, Sanjuka Krishnagopal and Yao Qin win $1 million from NSF for their collaborative investigation
Interns In Florida Released A 16-Foot, 148-Pound Python Back Into The Everglades On Purpose. She Now Carries A Radio Tag For Drones To Follow - Futura-Sciences
In a state where around 100 contractors remove pythons all year round, letting one go looks like a mistake. It is how researchers find the others.
HOMETOWN HEALTH: Researchers identify new clues for treating type 2 diabetes
The study's authors say this could be developed into new treatments that could help people regulate their blood sugar.
Chinese scientists find neurons may act as minicomputers to help decision-making
Researchers find evidence that suggests neural activity can guide the way the brain adapts to different sensory experiences.
Indian scientists identify Martian analogue sites
Kerala researchers identify Martian analogue sites in Tamil Nadu and Atacama Desert via hydrous sulfates, aiding Mars paleoenvironments study.
Zapata Quantum Adds Peter Shor and Three Scientists to Advisory Board
Zapata Quantum has appointed Peter Shor and three researchers to its advisory board, adding expertise in quantum algorithms, error correction
Beyond Moneyball: What the Milwaukee Brewers Can Teach Businesses About Teamwork
The Milwaukee Brewers’ sweep of the defending champion Los Angeles Dodgers stunned the baseball world. But the series also showed that assembling the biggest collection of stars isn’t the only path to success, says University of Delaware researcher Kyle Emich. The Brewers' run to the World Series – which continues this week against the Tampa Bay Rays – demonstrates how a team can combine its strengths, adapt to an opponent and operate as a system, Emich says. That same p
Start-Up Claims to Treat a Patient With A.I.-Created Viruses
Certain viruses attack bacteria and can sometimes clear antibiotic-resistant infections. Researchers said they had tailored a virus to attack one patient’s illness.
AI is Changing Science: Here’s What Journalists Need to Know
Researchers are rapidly adopting AI for everything from data analysis to planning and executing entire research studies. Journalists will need to keep up. That means learning the basic principles, strengths, and weaknesses of the diverse technologies labeled as “AI”—and how to tell when using AI in science is actually noteworthy. Luckily for science reporters, knowing your beat well can help you cut through the hype.
Scientists finally uncover why statins can cause muscle pain
Scientists have uncovered a surprising reason why statins, the widely prescribed cholesterol-lowering drugs that help prevent heart attacks and strokes, can sometimes cause muscle pain, weakness, and even severe muscle damage. Using advanced imaging technology, researchers discovered that statins can attach to a crucial protein in muscle cells and force open a channel that normally controls calcium flow. This causes calcium to leak continuously, potentially damaging muscle tissue.
UConn Researcher’s Insight on Small-Business Bankruptcy Recovery Draws the Attention of Congress
'Small businesses are an important part of the economy, but financial distress does not necessarily mean that the underlying business isn’t worthwhile& ...
GLP-1 drugs may protect kidney health in people with bipolar disorder
Mayo Clinic researchers found that GLP-1 receptor agonists, medications widely used for diabetes and weight management, were associated with a lower risk of dialysis or kidney transplantation in adults with bipolar disorder and chronic kidney disease.
WEBTOON Entertainment Inc. (WBTN) - What Are Researchers Saying About This Stock?
WEBTOON Entertainment Inc. (NASDAQ:WBTN - Get Free Report) has earned an average rating of "Hold" from the seven analysts that are presently covering the firm, MarketBeat reports. One analyst has rated the stock with a sell recommendation, five have issued a hold recommendation and one has issued a
Dog cognitive decline treatment: USF Health develops new gene therapy
Researchers at the University of South Florida are developing a gene therapy injection aimed at treating canine cognitive decline. The team hopes the one-time treatment will target the disease directly and give pets more quality time with their families.
Your age may not tell the whole story about how healthy you are
Researchers developed a five-factor Lifestyle Index assessing physical activity, BMI, smoking, sleep quality, and sexual satisfaction in 312 Swiss adults aged 35 to 65 years. Higher scores were modestly associated with younger bio-functional age, suggesting a relationship between combined lifestyle patterns and functional health, although the findings cannot establish causation.
Brain drain beyond Israel: Scientists are leaving the US, too
Delays in research grants and concerns about the future of American science are pushing researchers to seek opportunities overseas; One scientist who was sure she would spend her entire career in the US: ' I don’t think here is our home anymore '
AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Researchers are using AI tools to analyze simple facial photographs to determine key indicators of a person's health. Mass General Brigham researchers built FAHR-Face (Foundation Artificial Intelligence ...
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic changes
Symposium highlights MIT’s wide range of innovations for aging brain health
In six talks, researchers from across MIT described Aging Brain Initiative projects aimed at advancing the understanding of and interventions against neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS.
AI facial health recognition tools help physicians assess age and survival risk to guide personalized treatment
Mass General Brigham researchers trained a new AI foundation model on more than 40 million facial images, and used it to develop AI tools to estimate biological age and directly predict survival risk in patients with cancer
Why Thinking About Divorce Is Actually Good for Your Marriage, According to Science
Researchers say imagining life without your spouse can sometimes serve as a wake-up call to address problems before they get worse.
FMOL Health, LSU partner to develop saliva-based concussion test
Researchers are working with up to 60 LSU football players this season to develop a non-invasive sideline test...
Researchers outline priorities for robust U.S. climate assessments
Five Cornellians join 175 global experts to outline research priorities that can inform future national and regional climate assessments in a new special collection of the American Geophysical Union and the American Meteorological Society.
Researchers Discover a Blood-Pressure Drug May Stimulate “Healthy” Brown Fat
Losartan, a drug commonly prescribed for high blood pressure, boosts brown adipose tissue or “brown fat” activity and enhances its metabolism, according to a preclinical study by Weill Cornell Medicine, Rockefeller University and Memorial Sloan Kettering Cancer Center researchers.
Politicization of science is leading American researchers to foreign universities
More than a year after the Trump administration began making seismic changes to U.S. scientific research, many American scientists are being recruited by foreign universities offering stable funding and academic
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic changes
Scientists discover why some people still can’t taste food after COVID-19
Scientists have uncovered a possible explanation for why some people struggle to taste food more than a year after recovering from COVID-19. By examining taste buds from patients with lingering symptoms, researchers discovered molecular abnormalities that weaken the signals responsible for detecting sweet, bitter, and savory flavors.
Trump’s war on science sparks American brain drain as top researchers flee overseas
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom
Europe expands access to research data with 13 new open science hubs
Researchers across Europe can now access and share research data and digital services more easily, following the launch of the first 13 hubs in the EOSC Federation
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
NEW YORK (AP) — Halley Froehlich was sure she'd spend her scientific career in the United States. Her family has been in America since the 1700s.
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic...
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic changes
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic changes
Meet the researchers leaving the US because of Trump's funding cuts and politicization of science
Many American scientists are being recruited by foreign universities holding out offers of stable funding and academic freedom. It began last year after the Trump administration began making seismic changes
What Kills Schrödinger’s Cat? Scientists Just Ruled Out a 60-Year-Old Theory
Gravity has been proposed as a reason quantum superpositions become difficult to observe in everyday objects. A new experiment challenges one longstanding model of this process. A detector buried deep beneath an Italian mountain has challenged a decades-old theory about why quantum behavior disappears from the world we experience. After 62 days of measurements, researchers
Researchers have uncovered a likely origin of our allergies
While bacteria and viruses set off immediate alarm in our immune system, allergies follow a different path.
Researchers have uncovered a likely origin of our allergies
While bacteria and viruses set off immediate alarm in our immune system, allergies follow a different path.
Anxiety about reinjury can derail a return to sports
Psychological factors are critical in bouncing back from a sports injury. Researchers find that many people cleared to play don't actually return to sports.
Advance Could Lead to Bigger, More Reliable Quantum Computers, University of Edinburgh Scientists Say
Researchers developed an algorithm that allows standard computers to simulate photonic quantum devices.
Scientists reconstruct face of man who lived in Ecuador 3,000 years ago
Skulls discovered in Ecuador's Andes fueled theories about the origins of ancient Americans; a new facial reconstruction supports an Indigenous ancestry, but researchers say DNA testing is needed to settle the question
Two new-to-science subterranean fishes reveal a hidden world underneath
A decade ago, Wimarithy K. Marak, a resident of Assam’s Goalpara district, often used to encounter a small pink creature in her neighbourhood’s wells. She simply thought of it as a worm infesting her locality. In 2021, after she became a researcher, she stumbled upon the creature again while drawing water from a well. “This […]
An Uncertain Landscape for Science Funding (opinion)
New obstacles for early-career researchers could undermine U.S. innovation and competitiveness in the long term.
Your age may not tell the whole story about your health, but your blood could
Researchers analyzed plasma metabolites from 18,476 individuals aged 1 to 96 years and developed two metabolomic aging measures to assess biological aging, chronic disease, and mortality risk. Accelerated metabolomic aging was associated with greater risks of chronic disease and death, while a separate mortality-linked measure provided additional information about health status and disease burden beyond conventional clinical assessments.
Best of Both Worlds: 'Hybrid' Quantum Computers Could Be Just Around The Corner, Researchers Say
We are so ready for this.
AI-Generated Content Can Plant Fake Memories, Researchers Say
Human memory is suggestible, and AI is making it worse.
Regional Science Consortium Researching Harmful Algal Blooms
If you've noticed large buoys or boats out on the bayfront and wondered what they were, you're not alone. The Regional Science Consortium is collaborating with Princeton Hydro on a research project funded by the U.S. Army Corps of Engineers to study ways to control harmful algal blooms. Dr. Jeanette Schnars, the Executive Director of the Regional Science Consortium, explained the goal of the research."We are researching different ways to control blue-green algae, which creates harmful algal blooms and releases toxins," Dr. Schnars said.The project aims to identify potential techniques for controlling harmful algal blooms in Presque Isle Bay.Schnars explained that people may notice circular floats in the water near Perry's Landing and Liberty Park. Those floats are part of the testing process."You might see a circular float, almost like a hula hoop, that is out in the bay, near Perry's Landing and Liberty Park area, and those limn corrals go all the way to the bottom. And what we will do are some treatments within the limn corral in the bottom," Schnars said.After samples are collected, they are brought back to the laboratory at the Tom Ridge Environmental Center for analysis."A lot of those samples are coming back here. We are going to test them for the harmful algal bloom toxins before, during, and after, and see how effective the testing was," Schnars said.Sarah Magyan, an aquatic biologist with the Regional Science Consortium, explained that the team also collects samples from locations throughout the region."We pull samples every week from 30 different sites, and then we bring those back here, we preserve them and run them through the ELISA test," Magyan said.Schnars said researchers hope the results will help them develop effective ways to reduce harmful algal blooms in the future."If we can do some treatments over space and time in upcoming seasons, we may be able to reduce the number of harmful algal blooms we have in this area," Schnars said.The research is also important for public and animal safety. Magyan explained that toxins produced by certain algae can affect the skin, nervous system or liver.While toxin levels may be low for people, she emphasized the importance of protecting pets that swim in local waterways."Toxins can either be skin toxins, nerve toxins, or liver toxins. While we have low levels for people, it is important that we are keeping our pets safe because we recreate with our animals in the water, and we see hundreds and hundreds of dogs on Presque Isle and the rest of the shoreline," Magyan said.Testing began in September, and Schnars said researchers expect to conduct at least another six to eight weeks of testing to better understand the effectiveness of the treatments.
Black Death had dramatic effect on species diversity as humans abandoned farmland, study finds
Researchers have found that during the Black Death, when a third of the population of Europe was wiped out, biodiversity fell. Understanding their farming practices could help us increase diversity in modern agriculture.
Scientists uncover 3 key brain pathways linked to lasting depression relief
Researchers have uncovered three brain pathways linked to lasting improvements in people receiving deep brain stimulation for severe, treatment-resistant depression. They also discovered that patients who failed to improve after two years shared a striking pattern: insufficient stimulation of a crucial brain connection. The findings suggest that millimeters in electrode placement could make a major difference in treatment outcomes.
Magic mushroom ingredient takes the fight out of aggressive fish
A psychedelic compound found in magic mushrooms appears to have an unexpected effect: calming highly aggressive fish. Researchers discovered that low doses of psilocybin significantly reduced aggressive attacks in mangrove rivulus fish without disrupting their normal social interactions. The findings suggest psilocybin may selectively calm escalating aggression rather than simply suppressing all behavior.
Eating blueberries every day may have a surprising effect on your mood
Eating blueberries every day could have surprising effects on mood, according to a small study that found greater reductions in depressive symptoms among older adults who consumed the fruit for three months. Researchers also detected changes in gut microbial enzymes, suggesting a possible gut-brain connection, although the mood benefits were not statistically significant compared with a placebo.
Scientists Thought This Wolf Pack Was Too Inbred To Survive, Here’s What A New Study Found
Park officials gambled that bringing 19 wolves to a struggling island ecosystem would save a pack on the brink of collapse. Five years later, researchers got an answer, along with a new set of complic...
The 2 additives a processed-foods researcher and mom of 2 avoids at all costs
Elizabeth Dunford, a nutrition epidemiologist, studies additives in ultra-processed foods and their impact on health.
Danaher and NVIDIA Partner to Accelerate Autonomous Science
Danaher CEO Julie Sawyer Montgomery says the company's partnership with AI giant NVIDIA will help “researchers move faster to advance discoveries”
Chinese scientists develop nanoparticles to improve pesticide
In a study published in the Journal of Controlled Release, researchers mimicked gut bacteria pili-hair-like structures that function as hooks-to design hollow, rough-surfaced silica nanoparticles
Scientists discover that male and female skin play by different rules
Scientists have uncovered a surprising difference in how male and female skin repairs and renews itself. By tracking individual skin stem cells in living mice for five months, researchers discovered that female cells work together in a highly coordinated way, while male cells operate more independently. This synchronization, driven by sex hormones, helps explain why wounds heal faster in female mice, especially during the first few days.
Dave & Buster's Entertainment, Inc. (PLAY) - What Are Researchers Thinking About This Stock?
Dave & Buster's Entertainment, Inc. (NASDAQ:PLAY - Get Free Report) has received a consensus recommendation of "Hold" from the nine analysts that are presently covering the company, Marketbeat Ratings reports. Two investment analysts have rated the stock with a sell recommendation, five have given a
Scientists Found a Way to Upgrade the Powerhouses of Our Cells Without Shutting Them Down
Scientists have developed a new way to coat mitochondria, the tiny structures that power our cells, while preserving much of their function. Researchers at two Italian institutions found that coated m...
Jeffrey Archer: the politician and novelist jailed for perjury
Lord Archer defied convention – and the law – to cement a place as an unsinkable figure in British public life
The Moon Is Shrinking, and Scientists Say That Could Be a Problem for NASA
Researchers identified more than 10,000 lunar faults, raising concerns about moonquakes, landslides, and the safety of future lunar missions.
Modern Science: An Ohio University researcher is looking into how the chemicals in plastic are attaching to our bodies
ATHENS, Ohio (WOUB) — New research out of Ohio University focuses on developing chemical tools to study and manipulate protein-to-protein interactions. Knowledge gained from this research can be us
Scientists turn cancer-promoting protein into a weapon against tumors
Researchers have discovered that a protein known to help cancer cells thrive can also make immune cells more effective at destroying tumors.