BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced at Embedded World in ...

A research team led by Prof. Long Shibing from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has, for the first time, made spintronic neuromorphic ...

A new technical paper, “Protonic nickelate device networks for spatiotemporal neuromorphic computing,” was published by researcher at UCSD and Rutgers University. Abstract “Computation in biological ...

Engineers at RMIT University have invented a small "neuromorphic" device that detects hand movement, stores memories and processes information like a human brain, without the need for an external ...

In a new study, researchers have developed a neuromorphic device that is extremely thin while having the capability to replicate the capabilities of the human eyes and retain memories. This ...

(Nanowerk Spotlight) Paper-based electronic devices have long been an intriguing prospect for researchers, offering potential advantages in sustainability, cost-effectiveness, and flexibility. However ...

A look at the latest generation of neural networks called spike neural networks (SNNs), their operation, and the hardware necessary to run those algorithms. The variety of advantages SNNs have over ...

A technical paper titled “Online dynamical learning and sequence memory with neuromorphic nanowire networks” was published by researchers at University of Sydney, University of California Los Angeles ...

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 ...

Inspired by how the human eye sees, processes, and sends information to the brain, researchers have created a tiny device that captures, recognizes and memorizes images enabling it to make quick, real ...