A team of researchers has built a neuromorphic computing platform from networks of hydrogenated nickelate junctions that consumes roughly 0.2 nanojoules per operation, a figure that could reshape how ...

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic ...

In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

Researchers at Loughborough University have built a brain-inspired computing device that could reduce energy consumption for ...

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading developer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced ...

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, ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

LAGUNA HILLS, CA, UNITED STATES, March 30, 2026 /EINPresswire.com/ — BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, BCHPY), the world’s first commercial producer of neuromorphic artificial ...

Dhireesha Kudithipudi, PhD, is the founding director of MATRIX AI Consortium and lead scientific PI for THOR. THOR will make the promising technology available for researchers nationwide to explore ...

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