For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Using 19th-century math, a team of engineers revealed what happens inside neural networks they've created. The calculations are familiar.

This is because neural networks require extensive training for their inputs (such as pixels in an image) to produce the appropriate output (such as a description of the image).

Neural networks are great at fulfilling specific and well-constrained requests, but they can be overeager. Because a neural net's one directive is to produce an answer to a prompt, ...

University of California - Santa Barbara. "Energy and memory: A new neural network paradigm." ScienceDaily. ScienceDaily, 14 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250514164320.htm>.