By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

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 ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

Patentability Of Artificial Neural Networks To Be Decided By UK Supreme Court On Wednesday 11 February. Legal News and Analysis - United Kingdom - Intellectual Property - Conventus Law ...

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 ...

I was reading my psychology book the other day and it mentioned how people, in an attempt at programming computers that *think* like humans, created neural network programming- which is the closest ...

“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 ...

Principal Research Fellow at AI and Cyber Futures Institute, Charles Sturt University Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance.