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Amazon partnership establishes Cornell AI security initiative
Cornell computer scientists will lead the development of safety protocols to shore up AI agents and the code they produce.
A Scientific Achievement That’s Totally Random
Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.
CSUF computer science grad finds community and a career path
Mason Jennings has developed an AI-powered robotic dog to inspect short-term rental properties.
NotebookLM’s Gemini 3.5 upgrade adds a cloud computer and help finding sources
Google’s AI note-taking app is getting “across the board” updates.
ORNL scientist: How AI helps scientists predict Earth's future
Oak Ridge scientist Forrest Hoffman explains how AI and supercomputers help predict Earth's complex climate systems.
Gaining Insights into Navigating a Doctoral Program
Six PhD students received support from CRA-WP and Northwestern Computer Science to attend the community-building conference in March.
Number of students failing UC Berkeley computer science, engineering classes ‘soars’
UC Berkeley professors report a significant increase in student failures in computer science classes, attributing it to cheating, poor math skills, and over-reliance on AI. In spring, 35%
Scientists are seriously asking if bees and ChatGPT are conscious
New studies suggest consciousness can't be judged solely by behavior, whether it's a chatbot discussing philosophy or a bee searching for nectar. Researchers are increasingly focusing on the internal mechanisms of brains and computers, concluding that today's AI is likely not conscious while leaving open the possibility for both conscious insects and future machines.
If You Want To Hack Me, Come In Through The Speaker
Some security hacks require someone to have physical access to your computer. In many cases, that’s easy to mitigate. Other attack vectors can put you at risk from anywhere via the network. T…
Cyberdecks used to look like little laptops, but now they’re getting more personal
The cutest computer on TikTok is a cyberdeck.
So You Majored in Computer Science . . .
Suddenly, headlines about unemployed computer science majors are everywhere. Poor kids. Especially because—so it appears—many computer science majors did not choose the subject
The price of Nvidia RTX Spark PCs is going to hurt
Here’s what we know so far about price and launch dates for these upcoming premium computers, which have been designed for an agentic AI world.
A new AI-powered computer worm could prove to be the stuff of cybersecurity nightmares
University of Toronto researchers built a worm powered by open-weight AI that adapts to its targets. Experts say it changes the math on cybersecurity defense
'A Fundamentally New Threat': Researchers Develop New AI-Powered Worm That Might Be Unstoppable
A team of researchers have shown how a self-replicating AI agent can take over a computer network at almost no cost.
Scientists just built a powerful AI computer worm that learns as it spreads
The prototype could help the world prepare for AI malware threats, the researchers say
Adams to offer master’s degree in computer science
Online program will be the ninth masters program at the university
The cult of objectivity has broken consciousness science
With 22 competing theories and no consensus in sight, the science of consciousness is lost. In this exclusive IAI interview, Berkeley psychedelics researcher and bestselling author of a new book on consciousness Michael Pollan insists that even though consciousness lies beyond traditional forms of scientific investigation, we should resist becoming dualists who see it as something radically different from ordinary stuff in the world. Instead, he makes the case for reimagining science itself: it must stop reaching for objective descriptions of physical reality, and instead embrace subjectivity as the indispensable core of all inquiry. Alasdair Craig: How did your experiences with psychedelics get you interested in consciousness?Michael Pollan: One of the things that happens on psychedelics is that they foreground consciousness. What formerly seemed perfectly transparent and ever present—and yet, non-existent, as water is to fish—suddenly you see it. The metaphor I use in the book is that psychedelics sponge the windscreen. Suddenly you realize: wow, there’s a windscreen, there is this phenomenon that’s mediating my relationship to reality. This is not an unusual realization on psychedelics. I think a lot of people are called to think about consciousness after psychedelic experiences. So that was the proximate inspiration for A World Appears: A Journey Into Consciousness (2026).And then there was a more specific way in which psychedelics influence the book. That was a particular experience I had on psilocybin. I had the sensation that the plants in my garden were conscious and returning my gaze, with their own point of view and agency, and I got curious as to how to evaluate an insight like that. I mean, what’s the truth quotient of insights you have on psychedelics? And I was reading William James—who, of course, wrote beautifully about mystical experience—and he said, we can’t judge the metaphysics here, but we should pay attention to two criteria: (1) How useful is it to think this is true? He was a pragmatist, of course. And (2) can we subject it to other ways of knowing to validate it? Because maybe we should treat these insights as hypotheses. And that’s kind of how I approach psychedelics, as a great generator of hypotheses, but they need to be tested against other ways of knowing. And so that led me down this long path exploring the science of plant intelligence and plant sentience.AC: I love your phrase, “smudging the windowpane of conscious experience.” So do you now start to think, actually, even when I’m not on psychedelics, I’m just seeing a screen all the time, which is not reality, but rather is my conscious experience, behind which reality is hidden?MP: Well, you know, not when I’m brushing my teeth and making breakfast! But yes, in meditation, certainly. I mean, one of the things you realize is that my experience happens to be this way now, but it could be another way. And many things can affect it. My morning coffee changes the screen in various ways, sharpens certain things.___The only tool we have to understand consciousness is consciousness.___There’s this wonderful metaphor in Aldous Huxley’s book, The Doors of Perception, where he thinks we channel consciousness, and that what the brain does is edit it, and there’s a reducing valve. And psychedelics open the reducing valve wider. I don’t know that I’m ready to buy into the idea that consciousness exists outside brains, but I do love that metaphor because there are times when you are more conscious than others. I know I’ve switched from window pane to valve, but you know, a camera aperture can open wider or narrower. And I do have a sense of that. I have a sense of when I’m being less conscious, and when I’m being more conscious, by which I mean, you know, more present, taking in more sensory information. So when you start thinking about consciousness as a matter of degree, that changes things also.I think when we scroll on social media, obviously, we’re conscious. But minimally so, because we don’t have to generate our own thoughts. We’re basically taking these little hits from other people and thinking their thoughts.The process of writing this book made me kind of relativize everyday consciousness as just one type, which is exactly what William James said. Normal consciousness is one type, separated by the flimsiest of screens from the other types.AC: If we stick with the metaphor of the smudge on the window that you get when you take psychedelics, it seems like we’re saying that consciousness has become like an object that you’re looking at, right? You’re looking at the smudge and that just is consciousness. But sometimes we’ll talk about consciousness as a state that you’re in, rather than an object you can perceive. You’re either conscious or you’re not conscious. So it’s difficult to really know what sort of thing we’re talking about when we talk about consciousness, right?MP: Yeah. When you say that consciousness is an object, what’s the subject? Consciousness also? The only tool we have to understand consciousness is consciousness. So we’re in a closed loop and when we get a perspective on consciousness, we’re not achieving any distance from it. That’s one of the problems with studying consciousness. Science is predicated on an objective, God’s eye view of things, and you never get that. There’s no such thing. SUGGESTED VIEWING The brain filters consciousness With Àlex Gómez-Marín But, yeah, there is this sense, I think, that consciousness is something you can approach. Certainly, when you’re writing and trying to recreate a conscious experience, it’s a fiction, but you’re standing back from it, and looking at it. But there’s no real subject-object distinction.AC: That’s so interesting, because when philosophers start talking about consciousness, they often talk about what they call “qualia”, which is their word for the felt experience of, say, the color red. And I think that way of speaking often makes us think of the qualia as an object, which you can see out there: the redness of red. But, as you say, we also want to collapse the subject-object distinction when we talk about consciousness. So there’s something strange going on here…MP: Oh, yeah, there are many strange things going on! *AC: Let’s talk about the varieties of consciousness. Apart from perceptions, there are, pains, emotions, thoughts, and so on. What is it that holds all this diversity together so that they all count as instances of consciousness? What is it that they all have in common?MP: Yeah, that’s a really good question. I mean, there is sensory information, right? Which we perceive coming from the world outside ourselves. And then there’s internal information, which is what’s called interoception. And this is very important too. This is where feelings come from—what are sometimes called homeostatic feelings—that are intended to get the brain to keep us in these narrow ranges of temperature and glucose and so on. That’s a very important part of consciousness. And according to some researchers, who I think are probably right, this is where consciousness begins, with these very primal feelings, like hunger and thirst and warmth and itch, and things like that. And then there’s this third thing, which is our thinking about thinking.And what holds all this together is, I think, the sense of self. Consciousness generates a self: it is probably an organizing principle. All this stuff is happening to the self. It’s a construct, I think, but it is very useful. It can connect all these different streams of consciousness to a single being or a place, metaphorically speaking.* AC: The first half of your book is about the science of consciousness. Is consciousness just another thing, like black holes or the origin of life, which we don’t yet understand, but which we should have every hope that science will one day get to the bottom of, or is there something special about consciousness that makes this unlikely?MP: It depends how you define science. As we define science now, it’s going be very difficult. Science since Galileo has had a set of rules or assumptions, which is that the proper remit of science is to deal with the objective, quantifiable, third-person world. And the physical sciences have done amazing work under that set of limitations. Galileo—for tactical reasons, not for philosophical reasons—said science should not deal with the soul, which at the time was what consciousness was considered to be. So what is subjective, what is qualitative, what is first person, we’re going to leave to the church, he said. And this was a good agreement, and it probably kept many scientists from getting burned at the stake. But it leaves science in an awkward spot, now that it wants to venture into that territory of qualities, of first-person experience. And I don’t think it has the proper tools. I think it will have to add to its toolkit in some way, and find a way to bring in phenomenology, or lived experience and introspection, which science is usually dismissive of.The challenge—we alluded to it earlier—is that the only tool you have to study consciousness with is consciousness. And what I mean by that is, the whole scientific enterprise is a manifestation of consciousness. As much as scientists like to flatter themselves with this idea that they attain a godlike perspective on what they study, when it comes to consciousness, there’s no such thing. And it’s fine for all the things you can step outside of and study from that perspective. But two areas it won’t work are consciousness and cosmology.___It could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.___With cosmology, too, you have to study the universe from inside the universe. It’s not that cosmologists haven’t made progress. We know a lot about the age of the universe and expansion and things like that. But we can’t penetrate what happened before the Big Bang. We just don’t have the tools because we can’t stand outside.The fact that there are 22 full-scale theories of consciousness tells you all you need to know: we’re kind of lost. And I was surprised to find that we are more lost than I thought we were when I started this. I thought that there’d be leading theories, or that we had experiments that we could conduct that would nail some of this down. And the fact is, we don’t.So, I don’t know if science can solve it. But, of course, we can change the rules of science. A really influential book for me was a book called The Blind Spot, by two physicists, Marcello Gleiser and Adam Frank, and a philosopher, Evan Thompson. It’s a reminder that science is a social practice. It’s organized in a certain way and it can be organized in a different way. But it has this huge blind spot at the center of it, which is its failure to recognize that it is a form of consciousness itself, and it doesn’t have a good way of taking account of lived experience.AC: On the one hand, I think you want to resist traditional dualism, which would say that consciousness is something magical, something supernatural, right? But on the other hand, you’re accepting that there is this division in reality between the stuff that you can investigate objectively and measure, and so on—the stuff that science has been good at finding out about—and consciousness, which, for some reason, you can’t objectively measure. Some would take this to suggest that the dualism is actually right. Is there a way of reconciling these two strands of your thinking?MP: To call it magical is full of value judgement. I mean, you could just say immaterial. The interesting thing is, I think, that intuitively we’re all dualists. And I don’t know whether that’s because we’re children of Descartes and other cultures are less dualist than we are. Or it may be because that’s how consciousness feels. It feels different than the body. It feels separate from the body. But I don’t think we should trust that intuition.AC: So let’s think about ways that science might be changed to get at consciousness. I suppose the starting point would be the way that you begin the second half of your book. You have this nice line from William James, where he says, “We now begin our study of the mind from within.” Could you give us some sense of the ways of studying the mind from within? What does this involve?MP: I don’t know what that science looks like. But one of the points I’m making is that it depends on the humanities. I found that I learned as much, if not more, about consciousness, from reading novels and poetry. There is a sense of the fullness and complexity of consciousness that you don’t get in any scientific account. I interviewed this stream-of-consciousness writer and I approached her as an expert on consciousness, and she is. So I think that dialogue is really important.I’m reading Ben Lerner’s new novel, Transcription. Just read the first page of this novel: it’s a man falling asleep on a train, going to conduct an interview, and there is the experience of being in the train, facing backwards, there’s the view outside, but there’s a reflection of himself through which he’s seeing outside. There’s the memory of dropping his kids off at school. All this is going on in one moment of consciousness. Scientists aren’t going anywhere near that. But I think it’s useful for them to think about. That’s where we’re trying to go: like, how does such a layered experience happen? You know, it also makes you wonder, could a computer ever do this? And it gives you some doubt.*AC: Before we get to computers, perhaps we could talk briefly about plants. How did you come to feel that they are sentient?MP: Well, it was a psychedelic experience, and it’s not unusual on psychedelics. In fact, there’ve been studies about how people become animists during psychedelic experience. Their belief in animism arises after a single psychedelic experience.You know, most scientists would say this is all a myth. But we have only 400 years of the age of enlightenment and science. Before that, we were animists, and if you go around the world, most indigenous cultures are still animists, and children are animists, by and large, until they go to school. So it could be that we live in this anomaly of not believing nature is conscious. And maybe psychedelics are teaching us something we’ve forgotten.As I said, I wanted to test this idea, and see whether there was conventional scientific evidence for it. And there’s fascinating work going on in a field that calls itself—in a rather cheeky way—plant neurobiology. These are people who fully realize there are no neurons in plants, but they’re trolling conventional botanists! And they’re doing experiments that are demonstrating that plants can learn and remember, which is kind of amazing: how do you store a memory without neurons? They’re finding plants that can solve problems, that can hear and see. In fact, they have 20 senses to our five or six. For example, a bean plant looking for something to twine, and given a pole within eight inches or so of it, knows where that pole is and will aim its spiraling reach at that pole. What is that about? Is it bouncing signals off of it?One of the spookiest things is the fact that the same anesthetics that put us out put plants out. You might think that plants are already out, but they’re not. They’re just slow. If you take a plant with a fast behavior, like a Venus flytrap, and give it an anesthetic, it will stop reacting. So you have to ask yourself, what is lost when the plant is anaesthetized? Some state of alertness, of awareness, of its environment, of reactivity. I’m not prepared to call that consciousness, but maybe it’s sentience—which is a simpler form of consciousness, and involves the ability to sense what’s going on in your environment and assess what’s good and bad for you and act appropriately. That may be a universal quality of life.AC: Let’s turn from plants to AI. You point out that LLMs are trained on the internet rather than direct interactions with reality. You put this really nicely when you say the internet is not the world so much as a shadow cast by the world. So LLMs are living in this kind of shadow world, or in Plato’s cave, as you put it. What’s the significance of this for AI consciousness and moral consideration? And, to recall the beginning of our conversation, if we’re stuck behind a veil or screen of consciousness, are we also stuck in a kind of shadow world?MP: I don’t think they’re the same shadow worlds because our world includes nature and other people. And even if it’s mediated in some ways... There is a reality out there, and we are in relation to it, through consciousness. There’s friction with it. What’s missing from the LLMs is that friction with the real world. There’s more to the world than human representation, which is what they’re dealing with. And that means that so far, AI is a cultural technology for combining thoughts we’ve already had. SUGGESTED VIEWING Cracking the code for thought With Roger Penrose, Sabrina Gonzalez Pasterski, Max Tegmark, Güneş Taylor Genuine creativity is more than collage. A lot of what AI does now is tantamount to collage, putting this with that and you know, that’s part of art, certainly. But there are also genuinely new ideas that come into the world that don’t come in through manipulating the representations we already have. So it remains to be seen whether AIs can be truly creative in that more radical sense.But my arguments against AI becoming conscious have to do with the fact that the idea of AI consciousness is based on this faulty metaphor that the brain is a computer. There are dimensions in which the brain is like a computer—it certainly does its share of computation. But computers have this sharp distinction between hardware and software, and brains don’t. In a brain, hardware and software are identical. Every memory is a physical change to the brain. Brains are not interchangeable in the way computers are. So this idea that you could take the consciousness out and somehow run it on another substrate, a silicon substrate, seems foolhardy.Anyway, it’s a more extended argument, and I may be wrong. And when we move to computers that aren’t based on silicon—neuromorphic computers and things like that—all bets may be off.AC: Regarding your point about LLMs being stuck in the world of our representations—the internet or whatever—and not being able to interact with reality, are these representations, the world of the internet, themselves part of reality? We’ve created the internet, but it’s still a real thing that exists. And so while the LLMs may be trapped within that part of reality, they’re nevertheless within reality and interacting with it and so on. So it’s not obvious that there’s a barrier there to them becoming conscious and being creative.MP: Yeah, I mean, if our consciousness is built out of human culture, which is what we’re talking about with all those representations. But I tend to think consciousness comes a bit more out of nature and friction with the natural world, but...AC: So there’s a fundamental divide between the natural world and human artefacts?MP: And we lose track of that, and especially people in this computer world. You know, the people who are creating these AI systems, my guess is they’ve been into video games since the age of three, and they didn’t go outside a lot. And their own contact with nature is somewhat limited. I could be wrong, it’d be a very interesting thing to ask, all the wizards of AI, whether they like to go fishing and hiking and do things like that. Or were they on computers from a very early age? I interviewed Blake Lemoine, the Google engineer who came to believe that LaMDA, the Google LLM out at the time, was conscious and deserved personhood. It was very clear that he didn’t see a distinction between this bubble in which he lived and the real world. And I think we’ve all been distanced from the natural world, and this is taking us even further away. But it’s still there, you know, and we still have bodies, and we’re still mortal, and we don’t live in a simulation.AC: I think that’s a great place to finish. Michael Pollan, thank you very much!
Meta Platforms Just Hinted at a New Business Unit That Could Generate Billions
Meta may enter the cloud computing market.
Scientists Find Way to Supercharge Dangerous Computer ‘Worms’ With A.I.
Researchers at the University of Toronto showed how hackers could use artificial intelligence to create a program that could target any known flaw in the world’s computers.
“SCRIPT”ing the Future of Computer Science Curriculum
SCRIPT program provides structured, thoughtful approach to improving computer science curriculum.
Cyberdecks are having a moment, rejecting big tech surveillance with style and substance
Over the last few months, these DIY hardware communities have exploded in popularity as people on social media show off their solar-powered game emulators, pocket-sized ereaders, and clamshell purse computers.
Are plants the key to solving energy and food crises worldwide?
Costas Maranas, Robert V. & Gloria H. Waltemeyer Chair and Donald B. Broughton Professor of Chemical Engineering at Penn State, is developing computer models and algorithms to help scientists better understand, analyze and redesign biological organisms, including plants. In this Q&A, Maranas discussed how recent breakthroughs in modeling, artificial intelligence and systems biology are accelerating their work, helping plant scientists better understand and repurpose plants into fuel, plastics and more.
Gigabyte Introduces the AORUS ELITE Series Gaming Monitors with OLED or Mini LED Panels
Gigabyte, the world's leading computer brand, announced its AORUS ELITE Series monitor lineup, bringing together next-generation Tandem OLED technology and the world's first 5K Multi Mode Mini LED glossy gaming monitor across 27 to 32-inch models. The new series combines premium visual quality, excl...
Do you really want that computer-science degree?
American universities are selling ever more, just when their value is eroding
France rated second favourites for World Cup by Opta supercomputer
France have been identified as the second favourites to win the 2026 FIFA World Cup according to predictions generated by Opta’s supercomputer ahead of the tournament.With just over a week remaining...
New AI Inference Service Now Ready for Science at Argonne
AI can help accelerate scientific discovery, but setting up and running a foundation model is not a simple task. Thanks to the work of the Argonne Leadership Computing Facility, scientists affiliated with DOE National Labs and the Genesis Mission can now tap into a new AI inference service running on ALCF supercomputers. Dubbed the ALCF […]
3 big takeaways from Jensen Huang's keynote speech at Computex
Jensen Huang's speech was jam-packed with new releases, including the RTX Spark which aims to reinvent the personal computer as we know it.
Nvidia bets on AI personal computers with new chip
Nvidia has unveiled powerful new chips to bring advanced artificial intelligence to Windows laptops and desktops.
Wearable headband combines AI and mindfulness to alleviate car sickness
A novel brain–computer interface uses mindfulness to shift the attention of passengers and relieve even severe car sickness.
How a YouTuber Helped Solve a Science Mystery
Scientists revisited the Antikythera Mechanism after a YouTuber’s experiment—and may have finally solved the mystery of the world's oldest computer.
Modern Graphics Via DisplayLink For Your ISA-Era PC
The monitors used on older computers are now becoming difficult to find, as we doubt anything for MDA, CGA, Hercules, or EGA has been manufactured in decades. Even VGA, though there are plenty of s…
First Windows PC powered by Nvidia chips to debut next week, Axios reports
Nvidia and Microsoft are expected next week to debut the first Windows OS computers that use Nvidia's chips as the main processor, Axios reported on Saturday, citing sources.
Scoop: First Windows PCs powered by Nvidia chips to debut next week
The chips will appear in Microsoft Surface computers and PCs from other manufacturers.
New device could make processors run 1,000 times faster without additional waste heat — scientists say it could reduce data center energy demands
A new device could allow computer processors to operate significantly faster, without generating waste heat.
New device could make processors run 1,000 times faster without additional waste heat — scientists say it could reduce data center energy demands
A new device could allow computer processors to operate significantly faster, without generating waste heat.
Science news this week: Exploding rocket overshadows NASA's next steps to the moon, 'Doomsday Glacier' faces big loss, quantum computer AI hybrid shows impressive results, and war deepens Iran's water crisis
May 30, 2026: Our weekly roundup of the latest science in the news, as well as a few fascinating articles to keep you entertained over the weekend
Perplexity gifts Mac Minis in push for Personal Computer tool
Perplexity is sending out Mac Minis for people to test its new Personal Computer technology with.
Scientists Solved an 'Impossible' Quantum Puzzle With a Personal Computer
Anything you can do...
Key Chemistry Question Answered, No Quantum Computer Required
Do we need quantum computers to fully understand complex chemical reactions? A new result, decades in the making, shows the surprising power of ordinary “classical” machines.
Over 100 students showcase coding projects at Springfield Science Showcase
Springfield Public Schools recently hosted its annual Computer Science Showcase, celebrating student creativity, innovation and their work in the field.
Dell stock explodes higher after blockbuster AI-fueled earnings
Dell is among a handful of 2000s-era computer companies that have gotten a major boost from AI. The company crushed analysts' earnings estimates.
How Mary Falcigno ’15 uses AI to support the U.S. Army’s drone program
Mary Falcigno ’15 uses her math and computer science skills at an elite research and technology hub, DEVCOM (U.S. Army Combat Capabilities Development
Best Buy Ups Quarterly Entertainment Sales 38%
Best Buy May 28 reported a 38.1% surge in first-quarter (ended May 2) same-store entertainment sales, compared with a 15.2% decline in the previous-year period. The entertainment segment, which includes video game hardware and software, books, music CDs and computer software, saw revenue of $577.4 million, or 7% of Best Buy’s domestic revenue of $8.2 … Continue reading "Best Buy Ups Quarterly Entertainment Sales 38%"
Scientists thought brain inflammation was driving long COVID but the scans told a different story
A new brain imaging study has found no evidence of widespread brain inflammation in patients suffering from prolonged symptoms after COVID-19 infection. Instead, the most severe long COVID symptoms were associated with increased brain activity in regions involved in mood and emotion.
UCF Computer Science Students Expand Technology Supporting Military Operations
Today, Reserve Mercury streamlines administrative work for thousands of U.S. Army Reservists, transforming a once paper-heavy process through a platform developed by computer science students.
Solving real-world problems with AI
Arvish Pandey, a recent computer science graduate at the University of Cincinnati, is using artificial intelligence to better assess risk and prevent harm to the public. A downtown Cincinnati brawl that went viral last summer has sparked Pandey's recent research project dubbed "HORIZN."
In the AI era, NYC schools need a computer science reboot, this expert says
Ten years ago, NYC promised “computer science for all.” Access has grown but a new report shows equity goals aren’t being met. And the rise of AI changes the game entirely.
Logitech’s new desk gear makes your marathon PC sessions hurt less
Logitech's Signature Comfort Plus range is designed to make your time at the computer more comfortable.
Massive supercomputer simulations unlock cosmic magnetic mystery
Scientists used some of the most advanced plasma simulations ever created to uncover how the universe builds enormous magnetic fields out of turbulence. The discovery could reshape our understanding of stars, black holes, neutron star collisions, and dangerous solar eruptions.
Use Tiny11 to Rescue a Computer Running Windows 10
If you can’t—or don’t want to—upgrade to full Windows 11, consider this lightweight version of Microsoft’s operating system that works on a wide range of computers.
Scientists trained an AI model using an IBM quantum computer — and it answered questions correctly that the base model couldn't
When running an AI model through a quantum computer, scientists have increased accuracy by only adding a relatively small number of parameters.
Premier League predictions: How accurate were BBC Sport pundits?
Last summer, 33 BBC pundits - plus AI and Opta's 'supercomputer' were asked to pick which teams would finish in the Premier League's top four, and in which order. How did they get on?
Computer Science Colloquium Series Presents Cybersecurity Research at the Nelson Mandela University: The Centre for Research in Information and Cyber Security (CRICS)
Abstract:This presentation provides an overview of the Centre for Research in Information and Cybersecurity (CRICS) at Nelson Mandela University and its role within the South African higher education context and cybersecurity landscape.
To A.I. Executives, We’re All Just ‘Meat Computers’
A term first used in philosophy and cognitive science circles has lately taken on a more ominous cast. Moo.
There’s Never Been a Better Time to Study Computer Science
Even as AI progresses, coders aren’t doomed.
Opinion | Court Cases About Money and Speech in Politics
Readers discuss court cases about campaign finance. Also: Computer science and the humanities.
If Majoring In Computer Science Is Doomed Due To AI, The Latest Claim Is That Majoring In Philosophy Is The Next Best Choice
Some say computer science as a major in college is doomed due to AI. The claim is that majoring in philosophy is better. I tackle this. An AI Insider analysis and scoop.
Quantum supremacy just ran into an unexpected rival: An ordinary laptop armed with new math
Using a conventional computer and cutting-edge mathematical tools and code, physicists at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation's Flatiron Institute and collaborators ...
AI & Science: What Is the Future of Discovery?
Continued progress in artificial intelligence, its expanding usefulness in science, and its contributions to landmark advances suggest that we may have entered a new era of AI for science.The breakthroughs so far—such as predicting the structure of practically every known protein, with profound implications for our understanding of biology, health, and the treatment of disease—are notable not only for what was achieved but also how it was achieved and what that suggests for scientific progress. This special double issue of Dædalus poses the question: What is the future of scientific discovery in this new age of AI? Thirty-three scientists responded. Bringing perspectives from life sciences and medicine, cognitive science and neuroscience, the physical and earth sciences, chemistry and materials science, computer science, mathematics and the social sciences—they draw on their work at the frontier of AI and science. The authors write with an eye to the future, not just the present. They explore what is being achieved and what possibilities lie ahead; examine AI’s limitations and efforts to move forward; and investigate the larger implications of AI-assisted science—on how science is done, the role of the scientist, and the scientific method, as well as the challenges and complexities involved.The authors together exemplify a long-standing bidirectional relationship: AI advancing science, while science advances AI. Where that relationship will take us—a golden age of discovery? New scientist-machine collaborations? Autonomous labs? Discoveries without human understanding?—is a future we are only beginning to imagine, and one we must also shape if the beneficial possibilities are to be realized.Image: UMAP sculptures visualizing three Dædalus volumes on artificial intelligence. © 2026 by Refik Anadol.
New Flipper One Multi-Tool Computer Is Official, Built for Tinkerers
This doesn't replace the popular Flipper Zero. The One sits alongside it with advanced connectivity options.
US National Science Foundation pledges $1.5bn for innovative labs
Independent NSF X-Labs will tackle scientific challenges using non-traditional methods
AMD Announces Ryzen AI Halo, the Compact DGX Spark and Mac Mini Rival
AMD today released Ryzen AI Halo, a compact AI development computer designed by AMD to serve as a nearly full-stack machine for AI development, inferencing, and generative AI content creation. Ryzen AI Halo is designed to strike a unique balance of price, performance, and capabilities that rival App...
Computer science professor emeritus Ed Lazowska receives 2026 UW Distinguished Teaching Legacy Award
UW Magazine | University of Washington
Congrats, new grads! Welcome to job market hell.
New computer science grads are trying to start their careers at a time when many experts predict that AI will make their skills obsolete.
How San José State leaped to No. 2 in national computer science ranking
San José State's computer engineering and software engineering programs have risen to second place in a national assessment of programming and software engineering skills, surpassing top-tier universities such as CalTech, UC Berkeley and Stanford
New ‘AI scientists’ are improving – but reveal their fundamental limits
More ‘natural’ collaboration between scientists and computers won’t necessarily be more effective.
Scientists were wrong about this “rule-breaking” particle
Scientists spent decades chasing signs of a mysterious new force hidden inside the muon, one of nature’s strangest particles. But after years of supercomputer calculations, researchers discovered the apparent anomaly was likely a calculation error — and the Standard Model still reigns supreme.
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Peter G. Neumann, Who Warned of Computer Security Risks, Dies at 93
For decades, he criticized the industry’s lax attitudes toward both computer security and individual digital privacy. And he developed solutions.
WIU to add two new emphases to M.S. degree in computer science
University officials noted that prospective students frequently inquire about specialized study options in artificial intelligence and cybersecurity. The newly approved
Microsoft rejects critical Azure vulnerability report, no CVE issued
A security researcher claims Microsoft quietly fixed an Azure Backup for AKS vulnerability after rejecting his report, and without issuing a CVE. Microsoft disputes the claim, telling BleepingComputer the behavior was expected and that "no product changes were made," despite the researcher documenting a silent fix.
NASA’s New AI Processor Is 500x Faster Than Current Space Computers
NASA’s new AI-ready space chip could give future spacecraft a brain of their own.
Colorado Gov. Polis commutes ex-election clerk Tina Peters' sentence after Trump pressure
Trump has championed the case of Peters, a 70-year-old former county clerk who was sentenced to nine years behind bars after being convicted in a scheme to make a copy of her county’s election computer system. She gets released June 1.
Feature: Moore ’26 Keeps Busy with Double Science Major and Music
Luke Moore ’26 came to Kansas Wesleyan on a music scholarship. He’s graduating this weekend (May 16) with a double major in Chemistry and Physics. He’s as active on the music side as he is with his science activities — he’s played the cello for 10 years, including four years at Kansas Wesleyan. It’s common, he said, for scientists and musicians to share those interests. “I’ve spoken to plenty of musicians who would have done science if they weren’t musicians, and I’ve talked to plenty of scientists who would have done music if they weren’t scientists,” Mooresaid. He played the cello in the string orchestra, which he’s done since his first year, and as a junior and senior, sang in the Philharmonic Choir as a bass. He hadn’t sung in a choir since middle schoolin Garden City, but he found he really enjoys that aspect of his college career. Also as a junior, Moore helped re-activate the STEM Club as vice president. For two years, he helped build the club’s battlebot. Last year the bot came home from battles in Kansas City in pieces, lots of pieces. This year it came home with the first-place trophy. He’s helped make frozen nitrogen ice cream at Homecoming and other events and helped organize the STEM Club’s first gingerbread house competition for the holidays. Willing to get his hands – and face – dirty for science, he encouraged fellow musicians and scientists to smash him in the face with whipped cream pies on Pi Day (March 14) as a fundraiser for the STEM Club. His capstone project involved developing a metallic organic framework (MOF) that takes a methylene blue dye out of water. “I’m proud that I was able to design this project, and I was proud that I did end up making the MOF,” Moore said. The professors and attitudes at KWU have made all this possible. “I don’t actually have time for everything,” Moore said. “I have to prioritize things. Things inevitably fall through the cracks, but it’s hard for me to choose one over the other, because I like a lot of things. And I don’t want to not do music, and I don’t want to not do science.” Moore said that Kansas Wesleyan, as a smaller university, gives students the opportunity to try things. “If I were to want to be in a music ensemble, it would probably be a bit harder in a larger school. One nice thing about this school is that everyone’s involved in something,” he said. “Professors know that you have other things going on, and they are flexible and understanding.” Moore has applied to grad schools, with an goal of earning his Ph.D. and landing at a university big enough to allow for a small research team that also gives him an opportunity to teach. He’s off to a good start. Moore is receiving the award for Outstanding Research in the Math, Physics and Computer Studies Department at Commencement this year. Story by Jean Kozubowski
WPI student graduates after 50 years in computer science
Kerry Lynn is graduating 50 years after when he was first supposed to from WPI. He got his degree in computer science when AI is taking over and making jobs for students difficult. He worked in the technology industry for years.
Computer Science Grad Helps Develop AI System to Track Bee Pollen
On the edge of the Arboretum and Botanical Garden at Cal State Fullerton, honeybees return to their hive carrying tiny packets of pollen, a protein source that can mean the difference between a thriving colony and a collapse. But the warning signs are easy to miss. Class of 2026 computer science grad Kshitij Pingle is […]
New Report Highlights AI's Growth Role » CBIA
Artificial intelligence is quickly becoming a core tool for business growth, productivity, and competitiveness.
Southeast Utah Health Dept. asks those with foodborne illness symptoms to report online
The Southeast Utah Health Department began investigating a potential foodborne illness outbreak.The health department said that the outbreak is in Carbon County
Jiuzhang 4.0 computer marks leap in China-US quantum race
China’s new programmable photonic quantum computing prototype, Jiuzhang 4.0, completed a complex calculation in microseconds.
NASA’s new AI space chip could let spacecraft think for themselves
NASA is testing a next-generation space computer chip that could give spacecraft the ability to operate far more independently in deep space. The radiation-hardened processor is showing performance levels hundreds of times beyond current spaceflight computers while surviving punishing tests designed to mimic the harsh conditions of space. The technology could enable AI-powered spacecraft, faster scientific discoveries, and smarter missions to the Moon and Mars.
From chessboards to computer science
Naveen Prabakar (‘26 computer science) is wrapping up more than just a degree. He’s closing out a college experience defined by growth, persistence, and hands-on learning.
Scientists discover hidden math secret inside Chinese money plant leaves
Scientists have uncovered a hidden mathematical secret inside the leaves of the Chinese money plant: a naturally occurring geometric pattern known as a Voronoi diagram, something typically associated with city planning, computer science, and network design. By mapping tiny pores and looping veins in the plant’s leaves, researchers discovered that the plant organizes itself using the same kind of elegant spatial logic humans use to solve complex distance problems — without ever “measuring” anything.
Class of 2026: Data Science Student Ready to Support Small Businesses and Underserved Communities Through Cybersecurity and AI
By Kelsey Kendall For Makendra Crosby (B.S. ’24), data science and cybersecurity are not just about numbers and computers, they are about people. As she prepares to graduate with her master’s in data science and analytics with a concentration in artificial intelligence and machine learning, she is focused on using her skills to serve others and make technology more accessible.
UM-Flint alum blends music composition with computer science (video)
Recent grad and Maize & Blue Scholar Braeden Burger shares how he connected computer science and music composition at UM-Flint.
Scientists finally solve the 100-year mystery behind tough tires
For nearly 100 years, reinforced rubber has powered everything from car tires to airplanes, yet scientists never fully understood why adding tiny particles of carbon black made rubber so incredibly strong. Now, researchers at the University of South Florida have finally cracked the mystery using massive computer simulations that took the equivalent of 15 years of computing time. They discovered that carbon black forces rubber to “fight against itself” when stretched, dramatically boosting its strength and durability.
Renowned Energy-Storage Leader Aims To Expand University’s Impact
Dr. Babu Chalamala joined the Erik Jonsson School of Engineering and Computer Science as a professor of materials science and engineering last fall. He holds the Jonsson School Distinguished Chair and is supported by the Governor’s University Research Initiative. In June, he also will be a professor of electrical and computer engineering. Dr. Babu Chalamala, […]
How Google Is Moving The Needle On AI, Tony Stark-Style
Google DeepMind's new AI-powered pointer may change how humans interact with computers altogether.
Major declaration data shows English, Div. I up, computer science down
Students in the Class of 2028 declared their majors and concentrations on April 29, solidifying the academic paths they will pursue during their remaining time at the College. Registrar’s office data shared with the Record shows a sharp rise in Division I declarations, an all-time high in the number of English majors, and a continued decline in computer science majors.
12 of the top technology vendors serving children’s hospitals
Epic makes the list with its enterprise inpatient EHR and related platforms. So does PCC, aka Physician’s Computer Company, which supplies pediatric-specific ambulatory EHR and practice-management products and services.
U builds out Utah Health AI Vault, supercomputer with $33 million in state support
New state investment in the Utah Health AI Vault (UHAIV) will position Utah to lead the nation in AI-enabled health innovation.
Princeton Engineering - Two computer science students awarded Hertz Foundation fellowships for doctoral studies
The Hertz Foundation announced that two computer science students, Tyler Hou and Zachary Siegel, are among the 19 fellowship recipients in its 2026 cohort
Stop Chrome Browser From Downloading a Hidden 4GB AI File
If your Mac's storage has been mysteriously shrinking recently and you use Google Chrome, you may have already identified the culprit. The browser has been downloading a 4GB AI model file onto computers without explicit user consent. Here's how to reclaim the space.
The unexpected road to a master’s in computer science
At the University of Tennessee at Chattanooga, students from nursing, psychology, linguistics and other fields are changing careers, expanding their skills and moving into tech through the master’s program in computer science. Students pursuing an M.S. in Computer Science come from a range of academic and professional backgrounds, each with different experiences, goals and interdisciplinary strengths.
New 'trick' fixes major flaw in neutral-atom quantum computers — inching us closer to a superpowerful system
A new "geometry‑based" quantum swap gate makes neutral‑atom computers far less sensitive to laser noise — bringing large‑scale, stable quantum processors a step closer to reality.
This Coloradan can plug his brain into a computer. He’s trying to help turn science fiction into reality
Brandon Patterson, who is paralyzed from the chest down and has limited use of his arms, was the first person in Colorado to have a brain-computer interface implanted into a part of his brain involved in decision-making.
NYU’s Quantum Institute, IBM Team Up for Postdoctoral Research Program in Quantum Computing
Joint postdoctoral research projects will focus on quantum algorithms and applications in research areas across chemistry, computer science, materials science, physics, optimization, and more
Apple’s 2nm Powerhouse: Why the A20 Pro Chip Makes the iPhone 18 Pro a Literal Pocket Computer
Apple's iPhone 18 Pro launches this September with 5G satellite messaging, four new colors, and improved battery life via the A20 Pro chip.
Get ready for the whisper-filled office of the future
How will work setups change if we spend more and more time talking to our computers?
The hidden atomic gap that could break next-generation computer chips
A major obstacle may be standing in the way of the next generation of ultra-tiny computer chips. Researchers discovered that many promising 2D materials lose their advantages because an invisible atomic-scale gap forms when they are combined with insulating layers. That tiny gap weakens electronic performance and could prevent further miniaturization. The team says new “zipper materials” that lock together more tightly may offer a path forward.