Researchers develop AI tool that finds the equations behind complex systems

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
GitHub

Finite basis physics-informed neural networks (FBPINNs)

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...

Brain imaging reveals how neural networks coordinate multiple streams at once

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
GitHub

nkusla/heat-transfer-pinn

This project applies Physics-informed Neural Networks (PINNs) to simulate heat propagation, comparing it with the traditional finite difference method. It demonstrates PINNs' capability in solving the ...
San Diego Union-Tribune

San Diego Union-Tribune

"It's virtually the only place we can add a large increase of new housing," said one real estate expert.