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

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

Researchers in the UK have developed a new AI-based training method that helps robots transfer skills learned in simulation ...

Astronomers have released the FLAMINGO simulation of the universe that gives researchers a fresh way to test how the cosmos formed and evolved.

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

SiS talks to Lorenzo Servadei, Head of AI for Chip Design, Sony AI. SIS: How do you see AI-powered EDA redefining the chip ...

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 ...

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 ...