Neuromorphic engineering is an interdisciplinary field that combines principles from neuroscience, computer science, and electrical engineering to design artificial neural systems, often referred to ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications -- all at a fraction of the energy consumed ...

Although today’s computers can perform superhuman feats, even the best are no match for human brains at tasks like processing speech. But as Jessamyn Fairfield explains, a new generation of ...

As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications - such as hypersonic missile tracking and ...

A new technical paper titled “A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications” was published by ...

AI, machine learning, and ChatGPT may be relatively new buzzwords in the public domain, but developing a computer that functions like the human brain and nervous system -- both hardware and software ...

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.

Editor’s note: EE Times’ Special Project on neuromorphic computing provides you with everything you need to know about neuromorphic computers from the basics, in the article below, to if it’s a bridge ...

What are the most compelling scientific questions in memristive materials for neuromorphic processing, and what are promising future research directions for the field? The National Academies' ...