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.

As I mention often on this blog, I have a great interest in the universe—astrophysics, quantum mechanics, cosmology, all that stuff. With that, I’m no expert in any of it. I just enjoy reading and ...

A Florida State University computational scientist is paving the way for future medical breakthroughs by developing ...

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...

More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...

By Harrison Tasoff, UCSB Artificial intelligence is becoming increasingly vital to everyday activities across diverse sectors of society, from AI assistants to autonomous vehicles to healthcare. But ...

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