Merge a multiphysics simulation with real nuclear reactor inspection data and the result is a revolutionizing tool that predicts component failure before it happens.

Researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed an innovative framework to improve maintenance schedules for critical components in nuclear power plants. This breakthrough could save millions of dollars on operating costs while keeping power reliable.

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The recent delivery of advanced nuclear fuel to the Idaho National Laboratory’s Transient Reactor Test Facility marks a major milestone for Project Pele, a first-of-its-kind mobile microreactor prototype designed to provide resilient power for military operations.

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Scientists are using generative AI to accelerate a key step in the defense against cyberattacks, performing complex operations in minutes instead of weeks.

The team led by Loc Truong at the Department of Energy’s Pacific Northwest National Laboratory is using generative AI to reconstruct complex cyberattacks. These reconstructions are a crucial component of digital defense: Cybersecurity professionals need to understand exactly how an attack occurred to be sure they can stop it.

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A significant milestone has been not only accomplished but exceeded in the effort to advance artificial intelligence for national security. Over the past year, Sandia, Los Alamos and Lawrence Livermore national laboratories — known as the trilabs — have been building a federated-AI model as a pilot project, and they now have a prototype. Federated learning is a technique for training AI models on decentralized data.

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Nuclear power plants rarely resemble a Hollywood script. Yet at the Idaho National Laboratory, a simulator puts operators into a scene that could have come straight from the silver screen. Laser sensors, badge readers and biometric scanners guard the entrance. A few well-timed cyberattacks open the way for a silent physical breach.

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The concept is probably unfamiliar, but it underpins much of the world’s security—in telecommunications, banking and national security. It’s entity resolution (ER), the technology for consolidating disparate data about someone or something, which isn’t nearly as easy as it sounds.

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A group of college students braved the frigid New England weather on Dec. 13, 2025, to attend a late afternoon review session at Brown University in Providence, Rhode Island. Eleven of those students were struck by gunfire when a shooter entered the lecture hall. Two didn’t survive.

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Democratic countries have a smart-car problem. For those that don’t act quickly and decisively, it’s about to become a severe national security headache.

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The purpose of a new report from RAND is to represent the ongoing policy debate on the race to artificial general intelligence (AGI) in a mathematically neutral model that allows policymakers to compare the outcome of alternative strategies in in

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In a joint research project, researchers at Julius MaximilliansUniversität Würzburg have developed a system capable of repelling and capturing unauthorized drones. The interceptor drones operate entirely autonomously.

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A pioneering new test that can recover fingerprints from ammunition casing, once thought nearly impossible, has been developed by scientists at Maynooth University.

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When a natural disaster strikes, time is of the essence if people are trapped under rubble. Conventional methods use radar-based detection or employ acoustics that rely on sounds made by victims.

Since most people carry their phones with them every day, Shogo Takada, a student at the University of Tokyo, is working on a way to use smartphone microphones to assist in locating disaster victims.

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New Mexico is known for bringing the heat with its famous green chiles, but a new report points to another source of heat that’s causing excitement. Project Innerspace’s report titled “Future of Geothermal in New Mexico” lays out the opportunities — and challenges — to harnessing the state’s geothermal resources as a reliable, sustained domestic source of energy.

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China’s early success in global AI competition, bolstered by continued massive state investment and other advantages, could help it extend its dominance in international markets for manufactured goods to the software realm.

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Although progress in biological sciences and technologies will offer more opportunities to improve human well-being in the coming decades, this progress may also lower barriers that are blocking bad actors from engineering pathogens to cause destruction. In severe cases, the harms of future biological attacks may approach the magnitudes of the worst plagues of history—from the devastation wrought by the Black Death to the epidemics that decimated Mesoamerican societies after initial European contact.

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The United States should not kid itself. It will not recover its manufacturing position from China in any foreseeable future.

According to World Bank data, in 2024 the US’s GDP of US$29.2 trillion was 60 percent larger than China’s US$18.7 trillion. But China’s manufacturing sector, worth US$4.7 trillion and representing 25 percent of the country’s GDP, was 60 percent larger than the US’s, worth US$2.9 trillion and representing 10 percent of GDP. Simply put, the economic calculus is daunting.

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Last week, AI company Anthropic reported with ‘high confidence’ that a Chinese state-sponsored hacking group had weaponized Anthropic’s own AI tools to run a largely automated cyberattack on several technology firms and government agencies. According to the company, the September operation is the first publicly known case of an AI system conducting target reconnaissance with only minimal human direction.

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As President Trump traveled to the Indo-Pacific in late October for his first summit with new Japanese Prime Minister Takaichi Sanae and the APEC Summit hosted by President Lee Jae-myung in South Korea, the U.S.

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