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Discovery Supercomputer’s first applications selected for Day-One Science
Scientific computing experts at the Department of Energy’s Oak Ridge National Laboratory have selected the first nine research projects that will run on Discovery, the nation’s next flagship supercomputer, slated for deployment in 2028. The projects will be developed through the Discovery Center for Accelerated Application Readiness program at ORNL’s Oak Ridge Leadership Computing Facility. The program is designed to ensure that a suite of leading-edge scientific applications is optimized and ready to deliver results as soon as Discovery becomes operational.
Discovery Supercomputer’s First Applications Selected for Day-One Science
Scientific computing experts at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have selected the first nine research projects that will run on Discovery, the nation’s next flagship supercomputer, slated for deployment in 2028.The projects will be developed through the Discovery Center for Accelerated Application Readiness (CAAR) program at ORNL’s Oak Ridge Leadership Computing Facility (OLCF).
Department of Energy Selects 36th Class of Computational Science Graduate Fellows
Twenty-nine students working toward achieving doctorates in fields that emphasize the use of computing and mathematics have been selected for the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program.
EPB Quantum to Host First Quantum in Business Event in Chattanooga
EPB Quantum will host the inaugural Quantum in Business conference, bringing industry leaders together to discuss practical quantum computing use cases.
Hong Kong Science Park, SenseTime partner to build home-grown AI data centre
Project to be built in three stages, targeting 40,000 petaflops of computing power by 2030 to drive sector’s industrialisation.
Atom Computing and Phasecraft Partner on Material Science Algorithms
Neutral-atom quantum hardware developer Atom Computing and quantum software specialist Phasecraft have signed a Memorandum of Understanding to collaborate on application-focused algorithms. The partnership aims to adapt Phasecraft’s hardware-optimized software to
Science facility in Newport News breaks ground on new center
The Thomas Jefferson National Accelerator Facility broke ground Friday for a new center that will expand its mission into high-performance computing, artificial intelligence and the data-driven research to meet the demands of modern science.
Science facility in Newport News breaks ground on new center
The Thomas Jefferson National Accelerator Facility broke ground Friday for a new center that will expand its mission into high-performance computing, artificial intelligence and the data-driven research to meet the demands of modern science.
Cleve Moler, Who Unlocked the Power of Computing for Millions, Dies at 86
He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to write the underlying code.
NMSU computer science undergraduate research experience points students toward Ph.D.
New Mexico State University computer science students were among 120 attending the inaugural in-person workshop and research showcase for the Computing Research Association (CRA) Undergraduate...
NMSU computer science undergraduate research experience leads students toward Ph.D.
New Mexico State University computer science students were among 120 attending the inaugural in-person workshop and research showcase for the Computing Research Association (CRA) Undergraduate...
Fermilab storage infrastructure enables AI-driven scientific and research discovery for DOE’s Genesis Mission
The U.S. Department of Energy’s Genesis Mission is building a new era of AI-driven scientific discovery — and it requires far more than powerful supercomputers to succeed. To support this national effort, Fermilab’s Fermi Data Platform is providing secure, large-scale data infrastructure needed to make advanced AI research possible across the American Science Cloud.
New Data Center, Student Collaboration Space Put People at the Heart of Computer Science
The Computer Science and Engineering Department unveiled a new on-site data center that will accelerate computing and artificial intelligence research advances, while giving graduate students and other computer science researchers hands-on access to cutting-edge computing infrastructure.
How prediction markets could forecast the future of science
Online prediction markets are taking bets on everything from climate change to quantum computing. But researchers question their accuracy
Amazon, Microsoft and Google are quietly morphing their businesses — and Wall Street is missing the big picture
Tech giants are shifting from solely providing computing power to distributing AI models, unlocking a lucrative new revenue stream.
Apple to Launch New Siri in September With Help of Google, Nvidia
Apple is currently on track to launch its overhauled Siri in September, to run in part on Google’s cloud computing servers using Nvidia chips, according to people familiar with the matter. While Apple will try to run as much as possible of the new Siri on devices such as iPhones, certain parts will require more compute power and will run on Google Cloud, as The Information has previously
Meta Platforms Just Hinted at a New Business Unit That Could Generate Billions
Meta may enter the cloud computing market.
Science and AI-enabled research platforms
In an Editorial, Vaughan C. Turekian, Executive Director of the Office of International Networks, Cooperation, and Security at the National Academies of Sciences, Engineering, and Medicine argues that science is entering a new phase. In an era of vast computational power, automated experiments, and AI, science will increasingly be built around integrated platforms that link data, models, computing, and instrumentation at scale.
New light-powered chip could accelerate AI and quantum computing
Scientists have created a tiny chip that can generate, steer, and read light-based information all in one device, marking a major leap toward ultra-fast, energy-efficient computing. The breakthrough uses atomically thin materials and nanoscale structures to control a unique quantum property of light called the “valley” degree of freedom, allowing information to be encoded in new ways.
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 […]
New 3D silicon chip breakthrough could extend Moore’s Law for years
As traditional chip miniaturization slows, researchers have found a way to pack more computing power into the same space by stacking silicon circuits in multiple layers. The new process uses ultra-thin silicon membranes and low-temperature manufacturing techniques to overcome a major obstacle that has long blocked the production of true 3D chips.
New 3D silicon chip breakthrough could extend Moore’s Law for years
As traditional chip miniaturization slows, researchers have found a way to pack more computing power into the same space by stacking silicon circuits in multiple layers. The new process uses ultra-thin silicon membranes and low-temperature manufacturing techniques to overcome a major obstacle that has long blocked the production of true 3D chips.
Stanford quantum computing breakthrough uses twisted light to work without extreme cooling
A new room-temperature quantum device uses twisted light to entangle photons and electrons, overcoming one of the biggest hurdles in quantum technology. The breakthrough could pave the way for smaller, cheaper quantum systems with applications ranging from secure communications to future AI and computing platforms.
Huawei, scientists build 2D parallel computing chip that rewrites Moore’s Law
Marking a global first for 2D semiconductors, the new microprocessor overcomes silicon size limits to boost density and slash data delays.
Escaping the Heat? The Politics and Problems of Orbital Data Centers
What happens when digital systems outgrow the Earth that sustains them? Computing has always consumed energy and water, but the growing ambitions of the AI industry are pushing demand to an unprecedented scale. As pressures mount, data centers in orbit around the Earth have been pitched as a solution. But space is no escape, and what is framed as a technical fix risks entrenching digital dependence in an increasingly militarized, fragile, and crisis-prone environment. Orbital data centers simply relocate critical infrastructure into an already contested domain where the boundaries between civilian and military systems blur, satellites become strategic targets, and systemic disruption becomes a tool of coercion.
Mark Zuckerberg says a Meta cloud computing business 'definitely on the table'
Meta CEO Mark Zuckerberg said his company could enter the cloud computing market if it overspends on data centers and has excess capacity.
Argonne launches first large-scale AI inference service for open science
The Argonne Leadership Computing Facility Inference Service provides researchers with access to a range of AI models on Argonne computing systems, enabling faster insights, data analysis, and scientific discovery.
AI Agents Plunged the Tech World Into Chaos. Here’s Exactly How That Happened
The definitive story of how Claude Code and OpenClaw kicked off computing’s biggest transformation possibly ever.
Nvidia’s Hidden $60 Billion Business Is About to Overtake Broadcom
For years, investors treated artificial intelligence as a GPU story. Buy the chipmakers, ride the boom, and call it a day. But AI data centers have evolved into something much bigger — sprawling digital factories that need not only computing power, but also ultra-fast networking capable of moving oceans of data with almost no delay. ... Nvidia’s Hidden $60 Billion Business Is About to Overtake Broadcom
U.S. Invests $2 Billion and Takes Stake in Quantum Firms
The Trump administration said it had signed preliminary deals for equity stakes in nine quantum computing companies.
D-Wave Quantum and Department of Commerce Sign Letter of Intent for $100 Million in CHIPS and Science Act Funding to Accelerate U.S. Leadership in Quantum Computing
D-Wave Quantum Inc. (NYSE: QBTS), (“D-Wave” or the “Company”), the only dual-platform quantum computing company providing both annealing and gate-model syste...
Google and Xreal's 'Project Aura' XR Smart Glasses Are Legit
The spatial computing experience isn't as immersive as an XR headset, but maybe it doesn't need to be.
OpenAI’s Legal Win Against Musk Still Stings | AI & Business for May 19
Plus, a Wall Street-backed cloud-computing effort and rising opposition to AI
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.
Did Chinese scientists simulate what could be the ‘end of the universe’?
Tsinghua University team’s tackles one of most unsettling ideas in theoretical physics to possibly open a new pathway in quantum computing.
Mistral CEO warns Europe has 2 years to avoid AI dependence on US
Mistral's CEO Arthur Mensch said AI dominance will depend on who controls chips, energy, and computing infrastructure.
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.
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.
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.
Quantum breakthrough could revolutionize teleportation and computing
Scientists in Japan have developed a new way to instantly detect elusive quantum “W states,” a major milestone for quantum technology. The breakthrough could help unlock faster quantum communication, teleportation, and powerful new computing systems.
U to build out Utah Health AI Vault (UHAIV) with state support
Using an infusion of state funding, the University of Utah is building an AI-assisted computing infrastructure expected to advance population-based medical and policy decisions. Under...
Talking quantum with a 9-year-old
Nature Reviews Physics - Katia Moskvitch shares her experience of launching a quantum computing podcast with her child.
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
The National Academy of Sciences Elects Two Berkeley Lab Researchers
Two Lawrence Berkeley National Laboratory (Berkeley Lab) scientists have been elected to the National Academy of Sciences (NAS) in recognition of their distinguished and continuing achievements in original research. They are part of a cohort of 120 new members and 25 international members. The National Academy of Sciences is a private, nonprofit institution that was established under a congressional charter signed by President Abraham Lincoln in 1863. It recognizes achievement in science by election to membership, and — alongside the National Academy of Engineering and the National Academy of Medicine — provides science, engineering, and health policy advice to the federal government and other organizations. The 2026 electees bring the total number of active members to 2,705 with 557 international members. Gary Karpen is a biologist senior faculty scientist in Berkeley Lab’s Biological Systems and Engineering Division and a Professor of Cell and Developmental Physiology in the Department of Molecular and Cell Biology at UC Berkeley. Karpen studies how the structure, organization, and maintenance of genetic material impact inheritance and cell function. His lab focuses on chromatin — a packaged form of DNA strands wrapped around proteins that comprises our chromosomes — with a particular emphasis on centromeres, rarely expressed sequences called heterochromatin, DNA repair, and regulatory RNAs. His research reveals insights into fundamental aspects of nuclear organization and genome regulation that are shared across the tree of life, broadening our understanding of cancer and other diseases, birth defects, and aging. Kam-Biu Luk is a Professor Emeritus of physics at UC Berkeley and a retired senior faculty scientist in Berkeley Lab’s Physics Division. He is an experimental particle physicist whose research has focused on neutrinos: nearly massless, electrically neutral elementary particles that can pass through matter virtually undetected. Neutrinos are created during radioactive decay processes, including the fusion process occurring in stars and the fission process that powers nuclear reactors. Luk initiated and co-led the Daya Bay Reactor Neutrino Experiment, a project based in China with more than 200 international collaborators. In 2012, the Daya Bay experiment discovered a new form of a phenomenon called “neutrino oscillation” in which neutrinos change from one type to another. For this discovery, Luk and his collaborator Yifan Wang received the 2014 American Physical Society Division of Particles and Fields W.K.H. Panofsky Prize for outstanding work in experimental particle physics, and he was also the co-recipient of the 2016 Breakthrough Prize. Luk is currently participating in the Deep Underground Neutrino Experiment (DUNE) hosted by Fermi National Accelerator Laboratory, which will investigate any potential difference in behavior between neutrinos and antineutrinos that may shed light on the evolution of the universe, especially why antimatter is absent in the present universe. ### 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.
The 7 biggest revelations from Greg Brockman's second day of testimony
The OpenAI president's testimony revealed Elon Musk confrontations with the company's founders and the OpenAI's skyrocketing computing costs.
UC Names Katherine Yelick to Head Lawrence Berkeley National Laboratory
Yelick is a distinguished academic and national lab leader with deep expertise in artificial intelligence and high-performance computing
At ORNL, Science Never Sleeps
At Oak Ridge National Laboratory, scientists are building the next generation of research: self-driving labs powered by AI, robotics and high-performance computing. Autonomous systems run continuous “design, build, test, learn” cycles to analyze data in real time and guide experiments.
Scientists Print Artificial Neurons That Can Talk to the Brain
Artificial neurons that can “talk” to the brain could reshape medicine and computing.
UT Austin Computer Scientist Elected to National Academy of Sciences
Scott Aaronson, a renowned quantum computing expert, joins the country’s most prestigious scientific organization.
Apple Vision Pro Used in World-First Cataract Surgery
Apple's Vision Pro has hit another medical-use milestone, with a New York ophthalmologist becoming the first surgeon to perform cataract surgery using the spatial computing headset. Dr. Eric Rosenberg of SightMD completed the initial procedure in October 2025 and has since performed hundreds of additional cases using ScopeXR, a surgical platform he co-developed for Apple's mixed reality device.
$125 Million in Combined Giving Establishes the Halıcıoğlu School of Data Science and Computing
The University of California San Diego has established the Halıcıoğlu School of Data Science and Computing thanks to $125 million in support from alumnus Taner Halıcıoğlu ’96. The school positions UC San Diego at the forefront of data science, AI and advanced computing education and research.
Play can improve health. Tech is making that happen.
A new grant from the Flinn Foundation is allowing computer scientist Jared Duval to expand his work around making healthcare technology both effective and fun. Duval, an assistant professor in the School of Informatics, Computing, and Cyber Systems, won the two-year, $300,000 grant to support his work in health-related research that benefits Arizona. His far-reaching work, which includes everything from helping…
There are fixes for AI’s toll on the power grid. Here’s why they’re not happening
Tech companies charging ahead with artificial intelligence have a problem: AI’s rapid growth is colliding headlong with a finite amount of available energy and computing power.
This new brain-like chip could slash AI energy use by 70%
A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium oxide that mimics how neurons process and store information at the same time. Unlike conventional chips that waste energy moving data back and forth, this device operates with ultra-low power—potentially slashing energy use by up to 70%.
After Long Avoiding Politics, Commodity Traders Cozy Up to Trump
(Bloomberg) -- For decades, the world’s biggest commodity traders have sought to remain outside of politics, doing deals with anyone who has natural resources to buy or sell. Now, Donald Trump is changing the rules of the game. Most Read from BloombergHormuz Chaos, Lebanon Clashes Dent Trump Peace Deal HopesNvidia Makes Quantum Computing CEO a Billionaire in DaysTrump Says Iran Will Suspend Nuclear Program as Hormuz OpensThe Jet-Fuel Surge Is Making Global Flight Connections DisappearCongo to To
Farewell to Prof. Michael Rabin, godfather of Israeli computer science
A pioneer of modern computing, Rabin shaped algorithms, cryptography and AI foundations, mentored generations and remains the only Israeli to win the Turing Award, the field’s highest honor, as computer science reshaped everyday life
US companies that jumped ship to tech, AI businesses over the years
Sneaker company Allbirds' pivot to AI computing has revived a Wall Street trend in recent years: smaller companies leaning into tech-focused transformations to win over AI-hungry investors.
China doubles ‘AI for science’ computing scale in 2 months using no US chips
The Zhengzhou core node becomes the country’s most powerful scientific intelligent computing infrastructure, CCTV says.
How Columbus is leading the way on World Quantum Day
World Quantum Day spotlights the future of computing, and Ohio State is helping make Columbus a leader in quantum research, security and jobs.
Student view: Celebrating learning as much as winning
Navya Bhardwaj will graduate on May 3 with a bachelor’s degree in computer science and engineering and minors in data science, and computational mathematics, science and engineering. She is president of MSU Women in Computing and served as co-director of SpartaHack.
Framework CEO warns AI boom may lead to a scenario where "personal computing as we know it is dead”
Framework CEO Nirav Patel warns that the AI boom and a “winner-takes-all” scramble for chips and storage could drive up component costs and push consumers toward cloud-leased, closed devices, effectively ending personal computing as traditionally understood. While acknowledging progress in repairability across the industry, he positions Framework’s upcoming Next Gen Event as part of a renewed pledge to defend user ownership through upgradable, repairable hardware and local control over data and computation.
Amazon Just Revealed This 1 Business Is Worth More Than 82% of Fortune 500 Companies (Hint: Not Cloud Computing)
While AWS generates the bulk of Amazon's profits, this business is growing even faster.
Scientists create new type of encryption that protects video files against quantum computing attacks
A newly developed encryption framework aims to protect video data from future quantum attacks, all while running on today's conventional hardware.
Databricks co-founder wins prestigious ACM award, says 'AGI is here already'
Matei Zaharia has won the top honor from the Association for Computing Machinery. Now he's working on AI for research and says AGI is simply misunderstood.
Computer Science Students Compete in Software Hackathon - University of the Ozarks
A group of University of the Ozarks computer science students took part this past weekend in HogHacks, a 24-hour collegiate hackathon held at the University of Arkansas. Hosted by the Association for Computing Machinery (ACM) at the U of A, the event is an overnight software engineering competition among area college students that takes place […]
Computing, Sciences, Math at UT Among Best in U.S. for Graduate Study
In 2026-2027 rankings, all UT computer science programs rank in the top 10, while math and more are in the top tier at The University of Texas at Austin.
Zhou earns CAREER Award from the National Science Foundation
Through the early-career grant, Peipei Zhou will advance the scalable, verifiable co-design of heterogeneous reconfigurable computing systems, enabling domain experts to efficiently build next-generation customized AI and data-intensive applications, such as autonomous physical systems, adaptive intelligent agents, and advanced healthcare technologies.
RAM Prices Are Threatening the Viability of the Raspberry Pi and Single-Board Computing
The random access meltdown rumbles on.
The Genesis Mission: How AI Supercomputing Is About to Reshape American Science and Energy
DOE's Dr. Dario Gil explains how the Genesis Mission will use AI supercomputing to transform U.S. science, energy, and engineering.
Amazon's cloud business in Bahrain damaged in Iran strike, FT reports
Amazon's cloud computing operation in Bahrain was damaged after an Iranian strike, the Financial Times reported on Wednesday, citing a person familiar with the matter.
Why Data Scientists Should Care About Quantum Computing
Sara A. Metwalli on the rise of a promising new technology, the effects of LLM on her work, and more.
More Innovation through Different Computation: Quantum Computing and the New Substrate of Science | The Foundation for American Innovation
Last week, I visited
This quantum computing breakthrough may not be what it seemed
A team of physicists set out to test some of the most exciting claims in quantum computing—and found a very different story. Instead of confirming breakthroughs, their careful replication studies revealed that signals once hailed as major advances could actually be explained in simpler ways. Despite the importance of these findings, their work initially struggled to get published, highlighting a deeper issue in science.
First full logical operations achieved on silicon quantum chip
Silicon quantum chip performs error-checked operations, marking a step toward fault-tolerant quantum computing.
How NYU’s Quantum Institute Bridges Science and Application
Newly launched NYUQI seeks solutions in quantum computing, sensing, and communications
Duraisamy: Supercomputing in service of science and society
Across every frontier of science, engineering and medicine, the convergence of computational science, high-performance computing and artificial intelligence is not merely accelerating research; it is transforming what questions we can ask, what problems we can solve and how quickly solutions can reach the people who need it most. This transformation rests on a foundation that…
Quantum Computing Is on Its Way to Transforming Science. Inside IBM’s Latest Breakthrough.
IBM teams up with researchers to show a quantum processor’s capabilities in materials modeling.
Intel CEO Lip-Bu Tan: Startup investment is critical for business
Developments in AI, quantum computing and robotics are moving so fast that corporations must stay close to startups to avoid falling behind.
Arm unveils AI chip, partners with Meta and OpenAI
Arm CEO Rene Haas announced the Arm AGI CPU, partnering with AI giants Meta and OpenAI to tackle energy-efficient AI computing needs.
Teleportation is no longer just science fiction—at the quantum level
We may never beam ourselves off the planet. But quantum teleportation is poised to bring about a new era of computing—and revolutionize our understanding of the subatomic world.
Microsoft-backed startup raises $40 million for advanced chipmaking equipment tech
Lace, a Norway-headquartered chipmaking equipment startup which is backed by Microsoft, has raised $40 million in funding to further develop a technology that could enable significant advances in semiconductor design and manufacturing, the company said on Monday. To make cutting-edge chips, manufacturers such as Taiwan Semiconductor Manufacturing Co and Intel employ a process called lithography that uses light to draw complex circuits that form the foundation of advanced artificial intelligence chips. Manufacturers use light-based lithography systems made by the Dutch company ASML - which dominates the market - as they race to shrink chip components and squeeze in more features to boost the computing horsepower on a limited area of silicon.
This floating time crystal breaks Newton’s third law of motion
Scientists have created a new kind of time crystal using sound waves to levitate tiny beads in mid-air. These particles interact in a one-sided, unbalanced way, breaking the usual rules of motion and creating a steady, repeating rhythm. The system is surprisingly simple yet reveals complex physics with big implications. It could help advance quantum computing and deepen our understanding of biological timing systems.
Elon Musk uveils moonshot Terafab project. Here are 4 takeaways.
Elon Musk said his Terafab project, a joint Tesla and SpaceX chip manufacturing initiative, will be needed to unlock a terawatt of AI computing power.
International Business Machines Corporation (IBM) Shares Higher After Jim Cramer Advised In August To Step In Due To Fundamentals
International Business Machines Corporation (NYSE:IBM) is one of the Jim Cramer’s Biggest Quantum Computing & Data Center Stock Hits. International Business Machines Corporation (NYSE:IBM) is one of the largest enterprise computing companies in the world. While Cramer is also a fan of its enterprise business, the firm is one of two quantum computing stocks that […]
NN, Inc. Provides Update on Business Growth in the Data Center, AI Reasoning, and Cloud Computing Markets
CHARLOTTE, N.C., March 18, 2026 (GLOBE NEWSWIRE) -- NN, Inc. (“NN” or the “Company”) (NASDAQ: NNBR), a global diversified industrial company that engineers and manufactures high-precision components and assemblies with six sigma quality, today provided an update on its growing presence in the data center market, a key targeted growth market for the Company. NN has secured multiple new awards with a leading global provider of AI infrastructure and data center computing equipment. As this industry
Alibaba shakeup hints at an AI business model
The $325 bln group is separating its AI initiatives from its cloud computing unit. It’s a nod to a craze for digital agents like OpenClaw and willingness of consumers to pay for these standalone services. Monetising AI will remain daunting but the rejig makes sense.
Three questions: On the future of AI and the mathematical and physical sciences
Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. ...
USC Gould School of Law launches new degree in data science
University of Southern California Gould School of Law and the USC School of Advanced Computing have launched a Master of Science in Data Science and Law, now open for enrollment.
How Usable Is Windows 98 In 2026?
With the RAM and storage crisis hitting personal computing very hard – along with new software increasingly suffering the effects of metastasizing ‘AI’ – more people than ev…
SuperQ Quantum CEO Dr. Muhammad Khan Appointed as Forbes Business Council Member Leader to Drive Global Cybersecurity Strategy
Calgary, Alberta--(Newsfile Corp. - March 6, 2026) - SuperQ Quantum Computing Inc. (CSE: QBTQ) (OTCQB: QBTQF) (FSE: 25X) ("SuperQ Quantum", "SuperQ", or the "Company"), a leader in hybrid quantum-classical orchestration, is pleased to announce that its Founder, CEO, and Board Chair, Dr. Muhammad Ali Khan, has been appointed as a Member Leader within the prestigious Forbes Business Council.In this elevated leadership capacity, Dr. Khan will spearhead the Council's initiatives in Cybersecurity in.
(Half) Twisted Science: Researchers Build a Molecular Möbius Strip With Only Half the Twist
The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.
IBM scientists unveil the first ever “half-Möbius” molecule, with the help of quantum computing
A team at IBM Research has assembled a strange new ring-shaped molecule that bends around like a more complicated Möbius strip
Amazon Bets on Health Care AI With Tools for Patients, Doctors
Amazon.com Inc.’s cloud unit is launching AI tools for medical practices, the company’s latest effort to broaden the reach of its cloud-computing business into workplace applications.
Pasqal, A Global Leader in Neutral Atom Quantum Computing, to Go Public via Business Combination with Bleichroeder Acquisition Corp II
Pasqal Holding SAS (“Pasqal”), a global leader in neutral atom quantum computing, and Bleichroeder Acquisition Corp. II (“Bleichroeder”), a SPAC led and back...
Scientists build a “periodic table” for AI
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.
Manfra appointed Purdue’s chief quantum officer
Purdue University announced that quantum computing expert Michael Manfra has been appointed chief quantum officer.
How Qualcomm's new wearables chipset could spell the end of smartphone dominance
The new Snapdragon Wear Elite chip could make a big impact on the future of personal computing, from glasses to watches.
Pioneering AI for Science: Why UT is a Digital Twin Powerhouse
After more than a decade of advances in AI, mathematics and supercomputing, UT is shaping the future of digital twins — bringing together researchers across campus to deploy physics‑informed, AI‑powered models for energy, healthcare, national security and natural hazard mitigation.
Double-phase metasurface operators for all-optical image processing
Light: Science & Applications - We propose metasurface operators leveraging double-phase encoding and polarization multiplexing enable compact, all-optical analog computing for high-resolution...