Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

“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 ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Tesla releases Full Self-Driving beta v12.1.2, now relying on neural networks for navigating traffic, as the automaker continues to update its top driver assistance suite. The latest update, as well ...

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

For much of the 20th century it was thought that the adult brain was incapable of regeneration. This view has since shifted dramatically and neurogenesis – the birth of new neurons – is now a widely ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...