How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a system—like the orbit of planets.

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

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.

Overview:  Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...

The latest wave of simulation technology releases from Ansys, Cadence, and Avnet underscores a growing convergence of ...

Nearly two dozen students spent the week with U.S. Army researchers in Hanover building robots, planes, and a cyborg hand.

Heed the words of credible individuals who are experts in relevant fields, not speculative opinions because they’re popular.

Researchers say simulations show carefully timed cloud-seeding operations days before 2012 Hurricane Sandy could have shifted ...

The automotive industry holds some of the highest-value and most complex design disciplines you can think of. Designers face ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

High Energy Physics (HEP) is a deeply collaborative and software-driven discipline, where scientific discovery depends on advanced computing, data analysis, ...

In a study published earlier this month in the Journal of Cosmology and Astroparticle Physics, cosmologists trained an AI neural network on simulations of ΛCDM—the standard model of cosmology ...