Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Those scientists saved countless lives, but their forecast was more of an educated guess than it might have appeared. It was ...

Battleship is much simpler than many problems in science—chemical and biological samples, for instance, can’t be interpreted ...

A new study shows learning to fly in virtual reality with virtual wings can reshape the brain, making it treat wings more ...

HiPhyEngine brings FEM and MPM simulation to Blender with a unified solver, plus a 180 day trial for evaluation.

LS: Yes, AI-assisted analog and mixed-signal design can produce measurable gains in performance, power efficiency, and ...

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL) have achieved a significant milestone by demonstrating the first digital ...

Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.

New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...

ArcelorMittal, a European steel maker, is donating tens of millions of dollars of foreign steel for President Trump’s new ballroom. By Ana Swanson and Luke Broadwater Reporting from Washington ...

Zurich-based Fainite AG has received €165,000 (CHF 150,000) from Venture Kick to advance physics-based simulations and expand access to advanced engineering analysis across a wider range of ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...