Neural-network processors accelerate AI program execution while development tools help you get to market fast.

Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...

Researchers at Skoltech have proposed a new approach to training neural networks for wave propagation in absorbing media. The ...

Welcome to the registration form for the 12th Annual NEURAL Conference, which will take place in person on June 24-26, 2026, at the University of Alabama at Birmingham (UAB). Any questions regarding ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Welcome to the registration form for the 12th Annual NEURAL Conference, which will take place in person on June 24-26, 2026, at the University of Alabama at Birmingham (UAB). THIS FORM IS FOR NON-UAB ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...