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 ...

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 ...

University to Evaluate Omni One Across Rehabilitation and Simulation Settings Collaboration Highlights Potential Expansion into Healthcare While Virtuix Continues Advancing Consumer and Defense ...

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 ...

In Python Physics #22, we bring electric fields of a point charge to life with interactive Python simulations. Learn how to visualize field lines, understand the direction and magnitude of the ...