Engineers at the University of Wisconsin–Madison have designed a new type of quantum nanostructure that could enable optical ...

Science & Applications describes a framework for building neural networks that operate entirely with light, processing ...

Overview This video explains how artificial neural networks work, from the basic mathematical model of a neuron to how ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result of a study conducted by physiologists at Friedrich-Alexander-Universität ...

A study provides new details about how the brain’s motor cortex reacts when people watch actions by agents that may appear more human, or less.

Last time, “Why does movement break down when thinking while walking?” we organized working memory from the perspective of.So ...

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 ...

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 ...

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...