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 ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

In the context of the rapid development of artificial intelligence and big data, neuromorphic computing, which mimics the working mode of the human ...

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 describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

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

The UK will establish a new center to develop brain-inspired, neuromorphic computing technologies. The UK Multidisciplinary Center for Neuromorphic Computing is led by Aston University and will ...

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, smart home devices, and digital twin industrial sensors. K ...

A research team has made a major discovery by designing molecules that could revolutionize computing. A research team at University of Limerick has made a major discovery by designing molecules that ...