An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for ...

Dhireesha Kudithipudi (second from right), founding director of MATRIX at UTSA, chats with students during the NSF AI Spring School at UTSA's San Pedro I building. The research is part of a broader ...

This review first revisits the theoretical background and developmental history of neuromorphic computing. It then briefly introduces the working mechanisms of memristive devices and how they can ...

Innatera has announced Synfire, a new open platform designed to bring greater cohesion to the fast‑growing neuromorphic ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Research by the University of Cambridge has discovered a new form of material that reduces the energy consumed by AI hardware ...

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...

A tiny change at the boundary between two oxide layers may point to a less power-hungry future for artificial intelligence.

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

A team of researchers has built a neuromorphic computing platform from networks of hydrogenated nickelate junctions that ...