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

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Deep neural networks are revolutionizing how images and video are processed, enabling applications once thought impossible.

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

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).

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

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

You can't go out and just play through Doom right now with the support of a neural network. It is a test and not much more than that right now. Without touching on any ethical discussions of ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network.. The spinoff, aptly ...