A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
As AI shifts from training to inference, investors are increasingly focused on infrastructure, memory, optics and power, ...
Illinois State physics major James Aygun used a FIREbird grant to conduct atomic physics research with Professor Allison ...
The rules governing gravity and other laws of nature seem like eternal truths, but cosmologist João Magueijo has always ...
One Physics Announces Strategic Partnership with Petrone Associates, Growing its Presence in the New York City Metropolitan Market. TOWSON, MD / / May 11, 2026 / O ...
As the global technology industry descends on Taipei for COMPUTEX 2026 this June, a Canadian startup is preparing to ...
The governor of West Virginia stood against established scientific consensus in Washington, D.C. on April 9, 2026. Patrick ...
Abstract: This paper presents an improved physics-driven neural network (IPDNN) framework for solving electromagnetic inverse scattering problems (ISPs). Unlike data-driven solvers that require large ...
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Solving the hardest problem in physics
Join us as we explore a long-standing mystery in science: why is the sky dark? In this video, we discuss: - Olber’s Paradox - Questions about the shape of the Universe and its infinite nature - ...
After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can be only one big winner—if there is a winner at all. I’m standing in front ...
Quantum computers are already here, but they make far too many errors. This is arguably the biggest obstacle to the technology really becoming useful, but recent breakthroughs suggest a solution may ...
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