By Ben Aris in Berlin Russia has presented a domestically developed neuromorphic processor called “Altai”, a brain-inspired ...

Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that ...

The perovskite-based platform combines high-efficiency solar energy conversion with advanced memory functions needed for AI ...

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...

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 ...

A computing approach that requires up to 8,000 times less energy than conventional methods is emerging as a potential answer to one of technology’s most significant challenges: the unsustainable ...

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 ...

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 ...

Developed by the Indian Institute of Science, the neuromorphic computing platform is designed to work alongside existing AI hardware, rather than replace it. The Indian Institute of Science (IISc) has ...