Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like ...

Typically, the charge of electrons is used to store and process information in electronics-based devices. In spintronics, the ...

Learn how neuromorphic computing powers the Spiking Brain AI model, redefining speed, efficiency, and sustainability in ...

Chinese researchers have, for the first time, completed the full-process training and inference of a native brain-inspired ...

UMass Amherst engineers create low-voltage artificial neurons using bacterial nanowires, promising efficient bio-inspired ...

Traditional silicon-based architectures face challenges from rising AI demands, leading to a shift towards specialized computing solutions. Neuromorphic computing reduces power usage while enhancing ...

Left: A single ferroelectric domain wall memristive device: Left - interelectrode gap straddled by a single domain wall, which is pinned strategically at a few locations (shown by arrows) at the ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is ...

The UK's first Innovation and Knowledge Centre (IKC) dedicated to neuromorphic (brain-inspired) computing hardware will be led at UCL with £12.8 ...