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Three Stanford faculty named American Physical Society Fellows
Wendy Mao, Xiao-Liang Qi, and Alberto Salleo have been honored for work in compressed-matter physics, quantum many-body systems, and organic and polymer electronic materials.
What Comes Before Stomach Cancer? Researchers Are Finding Out.
Call it a “gut feeling.” For some stomach cancers, the first signs may appear years before a diagnosis. At Sutter Health Research Institute, Dr. Su-Ying Liang is helping lead that work. Through Gastroshare, she and researchers at Stanford University are using artificial intelligence and electronic health record data to study early changes in the stomach […]
Stanford researchers weigh AI applications in education, science
As AI becomes increasingly capable, Stanford researchers explore how it can extend human capabilities in education, science and the social sciences.
Georgia Tech, University of Vienna researchers top Stanford’s annual ranking of high-impact scientists
The database takes into account factors such as citations and co-authorship.
College Football Has a New Nightmare Duo
We knew Malachi Toney was special. We knew Darian Mensah could play. I don’t think anyone expected them to look this ridiculous together immediately. Miami absolutely destroyed Stanford 45-6 on Friday night, and Mensah and Toney looked like they had been playing together for years. Mensah completed 27 of 30 passes for 401 yards and…
Notre Dame Fans To Team: Just Win (Big), Baby
Welcome back to One Foot Down Reacts, where we ask the most connected Notre Dame football fans to weigh in on a weekly question of our choosing. This week, the biggest question after an 11-point win over a North Carolina team and a beleaguered Stanford on deck was: What does the team most need to […]
Harvard and Yale miss top 10 for computer science in 2027 US university ranking
Carnegie Mellon University, the Massachusetts Institute of Technology (MIT) and Stanford University tie for first in U.S. News & World Report's 2027 ranking of undergraduate computer science programs, released Sept. 22.
Duke football report card: Grading Blue Devils after Stanford victory
How did Duke football perform against Stanford? We hand out grades for the Blue Devils in their beatdown win over the Cardinal.
Stanford's Caroline Birkel Hasn't Allowed a Goal This Season
With Birkel back in net, the Cardinal have looked more like themselves
NC State a touchdown favorite at Stanford
NC State is making its first trip to Stanford since the Cardinal joined the ACC, which is to say that we’re in for a very late night of who-knows-what. Should be fun. The Wolfpack is a seven-point favorite to win this one, and if there’s any sort of turnaround on the horizon for this group, […]
Stanford's Path to a Bowl Game Runs Through Duke
The Cardinal must find a way to slow down Nate Sheppard and the Duke run game.
Duke vs. Stanford live updates: Score, highlights, predictions, analysis
Duke plays Stanford in a pivotal ACC showdown. Follow live score updates, highlights, injury news, key plays, and instant analysis.
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.
Notre Dame football vs. Stanford | How the points were scored
Notre Dame football will host Stanford Saturday, Oct. 10. See how the points were scored.
Seminoles Women’s Basketball Conference Schedule Released
Brooke Wyckoff leads an experienced roster into a grueling ACC slate, kicking off against Notre Dame before navigating a coastal expansion that includes marquee matchups against Stanford and Cal.
Stanford Professor One Of Three Scientists Awarded The Nobel Prize In Medicine
Stanford professor Karl Deisseroth joins Peter Hegemann and Georg Nagel as winners of the 2026 Nobel Prize in Physiology or Medicine for their work on optogenetics.
Stanford study finds mental health warning labels on social media may reduce teen use
Bay Area sports calendar, Sept. 26-27
Stanford quarterback Davis Warren and the Cardinal host Georgia Tech on Saturday at 7:30 p.m. (ESPN)
Stanford Seeks Road Redemption Against Defending ACC Champs at Duke
The Cardinal face a daunting Durham test as they battle to end an 11-game road drought against a stingy Blue Devils defense and their reigning conference championship momentum.
Can AI Be Slowed Down? Stanford HAI Experts Weigh the Risks, Rules and Race Ahead
In a new series called 'Prompt Response,' Stanford’s Surya Ganguli, Diyi Yang and Rob Reich examined emergent agent behavior, recursive self-improvement, independent evaluation and whether a 'kill switch' can make advanced AI safer.
California scientist wins a Nobel Prize, then makes school lunches for his kids
STANFORD, California (AP) — Dr. Karl Deisseroth spent hours fielding congratulatory calls after learning early Monday that he had won a Nobel Prize for medicine for helping to open a new field of brain science called optogenetics.
Stanford defense anxiously awaiting another battle vs. Walker Eget
Duke quarterback Walker Eget faced Stanford the past two seasons while playing for San Jose State.
Bucket List Provides an Experiential Introduction into a World of Electronic Musical Entertainment
Bucket List, an experimental music band conceived at Stanford University, performed in Ring Family Performing Arts Hall a little over a week ago. The band consists of Mark Applebaum on keyboard and guitar, Andy Meyerson on percussion, and Travis Andrews on guitar. All members perform vocals. Their performance was titled “Achievement: Presented by the Achievement […]
WEATHER REPORT: Notre Dame Fighting Irish vs Stanford Cardinal
This might be the most perfect weather we get this year at Notre Dame (unless you love snow in November).
Scientists discover a way to reverse coral bleaching at record speed
For the first time, scientists have observed bleached corals on the brink of death fully recover through brief contact with healthy clones. Ghostly white corals returned to full health in a laboratory ...
‘A period of lawlessness’: Sports industry professionals gather to discuss mental health and the future of collegiate sports
Jim Steyer ’78 J.D. ’83 hosted the panel Monday evening as part of his speaker series.
Stanford Scientists Find That the Human Brain Is Actually Two Separate Organs
A team led by scientists at Stanford University determined that the human brain is technically made up of two distinct organs.
Duke 35, Stanford 7: Three instant takes
Nate Sheppard once again reminds everyone why he is special plus Duke's defense comes through in a 35-7 rout of Stanford.
No. 6 Stanford Falters Again in Loss to Louisville
The overall performance was improved, but the execution left Stanford on the losing end yet again
Duke begins as heavy favorites over Stanford
Duke begins as almost double-digit favorites over Stanford as the Blue Devils start ACC play.
Stanford Health Care, John Muir Health to cut 173 Bay Area jobs
Stanford Health Care is eliminating 95 technology and administrative jobs in Palo Alto, while John Muir Health plans to cut 78 positions across several East Bay locations.
Goodbye joint replacements? Stanford scientists found a way to regrow cartilage and stop arthritis
Scientists have found a surprising way to regrow damaged knee cartilage by blocking a protein that becomes more abundant with age. In old mice, the treatment restored naturally lost cartilage and also helped prevent osteoarthritis after ACL-like knee injuries, while human cartilage taken from knee replacement patients began producing new, functional joint cartilage after exposure to the same inhibitor.
Trump cannot deport students for criticizing Israel, judge rules
The decision largely piggybacks on findings from nearly a year ago by a U.S. district judge in Boston
For the first time, scientists watch sound jump between quantum states
Stanford researchers have recorded the first real-time quantum jumps of sound, watching single phonons abruptly vanish from one energy state to another. The breakthrough could open new paths for quantum computing, error correction, highly sensitive biological sensors, and next-generation sound-based devices.
What’s up this week: Paly students’ science book, political satire sketch show, ’90s rockers, a PBS travel host and more
This week, Paly students launch a science-focused children's picture book; Molly Tuttle plays Stanford Live; former lovers reunite at The Pear; Los Altos Stage Company skewers current events and more.
100 Days to Kickoff: Mercer and Stanford
Two teams in flux round out the first third of Tech’s season
Stanford Wellness Fair cultivates health-forward community for faculty
Staff and faculty across departments came together with community services and programs.
Max Planck Stanford Centre to be established
Max Planck Institute for Informatics and Stanford School of Engineering will establish a joint AI research hub, the Max Planck Center for Visual and Multimodal Artificial Intelligence. The partnership will explore the foundations of next-generation AI systems.
Robert E. Hall wins Nobel Memorial Prize in Economic Sciences
The professor of economics and senior fellow at the Hoover Institution, emeritus, developed models that help governments and central banks respond to economic volatility.
Stanford DB May Have Provided Extra Motivation for Duke
With the Stanford Cardinal coming to Durham for a showdown with Duke, they may have provided some extra motivation.
What's up this week: Paly students' science book, political satire sketch show, '90s rockers, a PBS travel host and more
This week, Paly students launch a science-focused children's picture book; Molly Tuttle plays Stanford Live; former lovers reunite at The Pear; Los Altos Stage Company skewers current events and more.
Georgia Tech, University of Vienna researchers top Stanford’s annual ranking of high-impact scientists
The database takes into account factors such as citations and co-authorship.
The Baffling Gender Politics of Netflix’s New Stanford Prison Experiment
Netflix's reality-TV restaging of the notoriously unethical study incorporates women—but doesn't know what to do with them.
Scientists hunt for dark matter deep underground
A SLAC-led experiment more than a mile beneath a Canadian mine has begun collecting early scientific data ahead of a full-sensitivity search next year.
Everything Stanford HC Tavita Pritchard said following Duke's win
Duke used a big second half to rout Stanford, 35-7, in the Blue Devils' ACC opener.
Arzana raises $4.3M to automate factory paperwork
Growing up around manufacturing in Okoboji, William Alexander wondered if there were ways to make administrative tasks more efficient to give manufacturers more time to focus on their specialties. After graduating from Stanford University, Alexander teamed up with classmate Marshall Kools to develop Arzana, which builds custom artificial intelligence models around client workflows and data,…
Health warnings could reduce young people's social media use, study finds
Pop-up messages that warn of the harms of social media—such as mental health consequences—have the potential to reduce young people's social media use, a new Stanford Medicine study has found. The online ...
Part-human part-mouse brain developed in science breakthrough
Researchers at Stanford University genetically altered mice to be able to receive and function with human brain cells.
One Foot Down Reacts: Notre Dame’s Top Need Against Stanford
Welcome to SB Nation Reacts, a survey of fans across the NCAA. Throughout the year we ask questions of the most plugged-in Notre Dame fans and fans across the country. Sign up here to participate in the weekly emailed surveys: This week for One Foot Down Reacts, we’re asking: What do you, as a Notre […]
Notre Dame vs. Stanford live updates: Scores, highlights, analysis
Notre Dame football takes on the Stanford Cardinal later today, follow along here for live score updates, highlights and analysis.
RECAP: Miami dominates Stanford 45-6
The Canes take care of business on their longest road trip of the season.
Center for Human and Planetary Health celebrates second anniversary
Over 150 people attended the event focused on combatting climate change and protecting human health.
“Sex and the City” star Sean Palmer details heartbreak of being cut from first film: ‘Disappointing’
The actor explained that the movie would’ve featured a scene in which his character tied the knot with his partner, Stanford Blatch.
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
Extreme heat may threaten a key part of healthy aging, study finds
A Stanford study finds extreme heat may affect how older adults go about their daily lives, raising new questions about healthy aging in a warming climate.
Stanford Scientists Find New Way to Revive Bleached Coral
Bleached corals have a remarkable ability to recover, when put in contact with a healthy clone and beneficial algae, Bay Area researchers announced in a study published Monday.
Stanford business dean says she worries about AI lab poaching
The dean of Stanford's graduate business school, Sarah Soule, told Business Insider that AI labs are poaching faculty members.
Stanford's Niki Prongos Climbing NFL Draft Rankings
Stanford's offensive line will be a big focal point for the program this season, and Niki Prongos and offensive line coach Keli’i Kekuewa will be key to propelling the offense forward.
Stanford Health Care to lay off 95 employees
Stanford Health Care will lay off 95 employees this fall, the organization announced. Employees will remain on payroll until Nov. 2, when the layoffs will take effect.
Stanford's Test Will Come Against Duke
The Stanford defense was walloped by the Miami Hurricanes over the weekend, but that was to be expected. Now with an extra week to prepare, the game against Duke will be the Cardinal's big litmus test for 2026.
Stanford Health Care to lay off 95 employees
Terminated staff will continue to be paid until Nov. 2.
Stanford Health Care, John Muir Health announce layoffs
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Seattle Children’s names new CIO
Dr. Natalie Pageler has been appointed senior VP and chief information officer after years spent as a pediatrician and clinical informaticist at Stanford Children’s Health and Stanford University School of Medicine.
Trump cannot deport students for criticizing Israel, judge rules
The decision largely piggybacks on findings from nearly a year ago by a U.S. district judge in Boston
Stanford Grows Human Brain Tissue Inside Mice in Science Breakthrough
Stanford grew human brain tissue inside mice, creating living neural models that could transform drug testing for epilepsy, autism, and schizophrenia.
Trump cannot deport students for criticizing Israel, judge rules
The decision largely piggybacks on findings from nearly a year ago by a U.S. district judge in Boston
Stanford scientists transplanted human brain tissue into mice missing most of their cortex; within months, it grew to occupy more than 90% of the space
Stanford scientists have created a new model for studying human brain development by transplanting lab-grown human brain tissue into mice that were engineered to lack most of their cerebral cortex. Within months, the human tissue not only survived but expanded to occupy more than 90 percent of the cortical space, forming working connections with the mouse brain and spinal cord.
Is Germany benefitting yet from the crisis in US research?
Science|Business - Table.Media partnershipScience|Business has partnered with Table.Media, a leading source of news about higher education and research in Germany. Each week, we are publishing one of each other’s stories to give readers an even broader range of insight into R&D policy across Europe.Drawing over 500 participants, the German Academic International Network conference in San Francisco brings together researchers, universities, scientific organisations and policymakers in the US as part of an attempt to recruit international talent for Germany. It also serves as an annual barometer for the uncertainty triggered by the Trump administration’s science policies. As was the case last year, Germany’s political presence was unusually strong: federal lawmakers, nine state ministers of science and research, and federal research state secretary Marcus Pleyer all attended. Joybrato Mukherjee, president of the German Academic Exchange Service (DAAD), has observed a marked shift at US universities a year after the Trump administration began sweeping interventions: the initial state of "shock and paralysis" has given way to a strategic approach to the situation. Universities are seeking new funding sources, mounting legal challenges against interventions and opening themselves up more to international collaborations, including with Germany, he said. Early-career international researchers with expiring visas are considered particularly vulnerable. Germany is benefiting from increased demand among this pool of young talent; the country’s 1,000 Minds Plus programme, designed in part to lure German academics back home, has already filled up around one-third of its capacity. Meanwhile, Markus Blume, Bavaria’s science minister and current chair of the federal Conference of Science Ministers, sees an "enormous outflow of talent from the US." An increasing number of international researchers want to leave. Applications to Canada have risen by 42% January, and those to Europe by 32%. Meanwhile, the number of people drawn to the US is plummeting. "In this context, Germany must position itself as a prime destination offering reliable conditions, institutional stability and academic freedom, including through smart collaborations," Blume told Table.Briefings.“Darkest hour”At the get-together in San Francisco, the former president of the US National Academy of Sciences, Marcia McNutt, highlighted the gravity of the situation on the ground in a keynote address. She described the present moment as the "darkest hour for the US scientific system." At the same time, she said that cooperation should be maintained, especially during a crisis. Established researchers in the US are less likely to leave. Ulrike Malmendier, a former member of the German Council of Economic Experts and an economist at Berkeley, explained why established researchers are not packing their bags and leaving the US in droves: working conditions and the concentration of talent at places like Berkeley and Stanford remain unparalleled. According to Peter-André Alt, managing director of the Wübben Foundation, which helps Germany attract international academics, political restrictions are not the only grievance voiced by US-based researchers. "There are evidently still many areas where, fortunately, unfettered research is possible," Alt told Table.Briefings. Instead, the primary complaint concerns the cost of living, which has "skyrocketed” to absurd levels. "Runaway inflation, like that currently seen in the US, is certainly no draw for young scientific talent,” he said. Return homeA growing number of early-career researchers from Germany appear to be considering a return home. Jörn Benzinger, who is responsible for recruiting early-career researchers from abroad at Ruhr University Bochum, reports numerous conversations with researchers who are taking a closer look at the German academic landscape."Germany has definitely moved more into the spotlight,” he said. States, university alliances and research organisations joined forces to recruit talent. Bavaria, Baden-Württemberg and North Rhine-Westphalia were prominently represented, as were alliances such as the Berlin University Alliance and the University Alliance Ruhr. Benzinger sums up Germany’s approach with a new formula: "collaboration is the new competition." He notes that it is becoming increasingly difficult for individual universities to gain international visibility, while regional research ecosystems and collaborations are growing in importance. Afraid to leaveThe crisis in the US academic sector is also straining transatlantic research relations. Benzinger reports that some US-based researchers had to decline brief invitations to Germany because they could not be certain of being allowed to re-enter the US afterward.He considers the simple poaching of researchers to be the wrong approach; what is needed, he says, are "reliable offers and long-term partnerships."However, Green Party politician Ayşe Asar, who also attended the conference, sees a significant need for improvement, particularly regarding career paths in Germany.While lifetime professorships and academic freedom certainly make Germany attractive, young researchers also require predictable career paths, tenure-track positions and flatter hierarchies.
Fall Sports Update: Volleyball Sweeps Stanford
Women’s Volleyball (7-1) The women’s volleyball team ran its winning streak to four with wins over Stanford, Ohio, and Villanova. Penn State swept Stanford on Friday night at the Palestra in one of the team’s best defensive efforts so far this season. Haley Burgdorf continued a strong start to her career with 10 kills, nine […]
A Homemade Golf Game Didn't Exist. A Former Stanford Coach Built a $5.9 Million Business Around It
Tyler Simmons turned a Fourth of July discovery into a multimillion-dollar company. He credits his years spent coaching college athletes as the key to his entrepreneurial success.
TV and streaming viewing picks for October 4, 2026: How to watch MLB Postseason, NFL Week 4 and WNBA Semifinals
All Times Eastern College Field Hockey Stanford at Louisville — ACC Network/ESPN Unlimited, noon College Football ACC Huddle: Final Score — ACC Network, 8 a.m. SEC Football Final — SEC Network, 8 a.m. The Final Drive — Big Ten Network, 10 a.m. Inside College Football — CBS Sports Network, 11 a.m. College Football Final —…
Mensah throws 5 TDs, Toney sets record in Miami’s win over Stanford
STANFORD, Calif. — Darian Mensah threw five touchdown passes in his Miami debut, Malachi Toney set a school-record with 234 yards receiving and the seventh-ranked Hurricanes opened their season with a 45-6 victory over Stanford on Friday night.
Shorthanded No. 1 Stanford Faces Massive No. 3 Duke Challenge
A win would prove Stanford women's soccer can beat anyone. A loss would underscore how much the Cardinal are missing some of its top players.
Stanford Scientists Identify Enzyme That May Promote Cartilage Regeneration in Arthritis
Stanford researchers identified an enzyme that may restore cartilage repair signals in arthritic joints, offering a potential drug target backed by mouse and human tissue results.
Trump cannot deport students for criticizing Israel, judge rules
The decision largely piggybacks on findings from nearly a year ago by a U.S. district judge in Boston
Byron Sher, an uncomfortable politician who left an indelible mark on California's environment, dies at 98
Byron Sher, a Stanford law professor-turned California legislator who wrote some of the state’s most far-reaching environmental laws, died Saturday. He was 98.
Miami Hurricanes football takes on Stanford in 2026 season opener
Photos from the game between the Miami Hurricanes and the Stanford Cardinal on Sept. 4, 2026, in Palo Alto, California.
GAME THREAD: Miami Hurricanes vs Stanford Cardinal
YOUR MIAMI HURRICANES TAKE THE FIELD TO BEGIN THE 2026 SEASON TONIGHT!!!!!!
Stanford vs. NC State Preview: Will Cardinal Keep Momentum Rolling?
Coming off a 34-7 win over Elon, the Cardinal host the Wolfpack on Friday night, looking to keep their bowl hopes alive.
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
Part-human part-mouse brain developed in science breakthrough
Researchers at Stanford University genetically altered mice to be able to receive and function with human brain cells.
Selma business owner makes donation to Selma University
From the West Alabama Newsroom– A Selma business owner makes a sizable donation to Selma University — to support and promote business. Selma-U President Dr. Stanford Angion was all smiles — at a check presentation on the campus Wednesday morning. “It is really wonderful when you find hometown people who is giving back to help others who are coming along...
Seven Scorers Lift No. 1 Stanford to 7-0 Rout
This game was a little more open-ended, but Stanford still came out well ahead.
The science behind the ‘super’ El Niño - Stanford Doerr School of Sustainability
This year’s El Niño is among the most extreme on record. Stanford experts explain how it works and what it means for people and ecosystems.
Duke Rolls Past Stanford for First ACC Win of Season
The Duke Blue Devils moved to 3-0 on the season after a blowout win over Stanford.
Stanford Legend Christian McCaffrey Joins Elite Group in NFL History
The San Francisco 49ers running back has been a scoring machine throughout his career.
Stanford scientists discover the human brain may actually be two separate organs
Scientists have found that the human brain develops from two distinct cellular systems, suggesting that evolution fused together two ancient nervous systems with very different jobs. The discovery also allowed researchers to grow human hindbrain neurons in the lab, opening new possibilities for studying ALS, spinal muscular atrophy, and other brainstem diseases.
Judge rules Trump unlawfully targeted foreign students who criticized Israel
The ruling was a win for Stanford’s student newspaper, The Stanford Daily, and it followed another court victory for students targeted by the Trump administration last year.
Miami's Darian Mensah Shines In Debut, Malachi Toney Sets Record In Week 1 Win
Malachi Toney and Darian Mensah impressed in Miami's dominant 45-6 win over Stanford on Friday night.
Fewer computer science students graduate from Stanford. What comes next?
The number of undergraduate computer science bachelor degrees conferred by Stanford University in 2026 decreased by 70 people – almost 14 percent – compared to the year before.
Real-time quantum jump in sound observed for first time
A Stanford team has documented the first direct observation of quantum jumps of sound in a mechanical resonator, completing an arc of scientific exploration that started more than 100 years ago.
Stanford Football's Bowl Hopes Depend on Beating NC State
Stanford needs six wins to reach a bowl game. With five games left, Friday's matchup with NC State is the one the Cardinal can least afford to lose.
Duke 35, Stanford 7: Five Key Plays
A couple of more wins. like the last two, and people will have to say Duke is a solid football team again.
'The New Stanford Prison Experiment' review: A project reimagined for TV
Netflix's new reality series is a mix of the 1971 social experiment that investigated power dynamics, 'Big Brother' and 'Wonka's Golden Ticket.'
That Rare Mastodon Fossil Found in San Mateo Is Now at Stanford
The molar dates back to the Ice Age. Researchers found it submerged in a Bay Area creek at the Midpeninsula Regional Open Space Preserve.
Takeaways From Stanford’s Season Opener, Before No. 7 UM Matchup
Micah Ford’s breakout performance and Davis Warren’s explosive debut highlight a gritty Cardinal victory, signaling a dangerous offensive test for the Miami Hurricanes' retooled defensive front seven.
Fully Funded Stanford Science Fellowships 2027: $98,000 Stipend for Early-Career Scientists
Stanford University has opened applications for the Stanford Science Fellowships 2027 selection cycle, offering an exceptional opportunity for early-career