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

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, ...

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 ...

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

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, ...

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

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 latest research progress in the field of MXene-based neuromorphic computing is reviewed. The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, ...

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 ...

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...