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, ...

Neuromorphic computer solves differential equations ...

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 ...

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

The first GRAIN device that Frontgrade Gaisler will premiere – the Gr801 SoC – integrates Akida™ neuromorphic technology from BrainChip, the world’s first commercial producer of ultra-low power, fully ...

(Nanowerk News) A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it. This device, called a memristor, could serve as the basis ...

The review emphasizes the switching mechanisms of organic neuromorphic materials. In addition to these switching mechanisms, the capabilities of organic neuromorphic materials in tunable, conformable, ...

BANGALORE, India, Jan. 28, 2026 /PRNewswire/ -- According to Valuates Reports, In 2024, the global market size of Neuromorphic AI Semiconductor was estimated to be worth USD 30.5 Million and is ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...