Memristors, or “memory resistors,” are the leading candidate for replacing synapses in a neuromorphic (brain-like) computer.

Neuromorphic computing is at a pivotal moment, said Dhireesha Kudithipudi, the Robert F. McDermott Endowed Chair at the University of Texas San Antonio and the paper's corresponding author.

New brain-inspired hardware, architectures and algorithms could lead to more efficient, more capable forms of AI.

International Iberian Nanotechnology Laboratory (INL) researchers have developed a neuromorphic photonic semiconductor neuron ...

The Netherlands is building a neuromorphic computing ecosystem, harnessing brain-inspired tech for unprecedented energy ...

The professor and has team received the prestigious Misha Mahowald Prize in Neuromorphic Engineering for their work on ...

Innatera builds neuromorphic chips. They are proving extremely efficient for applications in smart doorbells and more, but ...

A research team has recently developed a neuromorphic exposure control (NEC) system that enhances machine vision under extreme lighting variations. Published in Nature Communications, this ...

Neuromorphic computing, which aims to copy the design of the brain to improve artificial computers, has brought together researchers from mathematics, biology, physics, electronic engineering and ...

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 devices based on CoO/Pt ...

Asynchronous, event-based sensing is a new paradigm in computer vision, enabling lower data bandwidth, decision latency, ...