Brown University researchers have developed a new artificial intelligence method for predicting the rate at which materials ...

Physics-Informed Neural Networks (PINNs) augment traditional neural architectures by embedding the governing equations of physical systems directly into the loss function. Instead of solely minimising ...

Short video shows the neural network training results and reproduction of flocking from real-world data. Credit: Cell Reports Physical Science Learning local rules with physics-informed AI To address ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Global Navigation Satellite System (GNSS) spoofing—the transmission of counterfeit signals that trick receivers into reporting false positions or ...