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

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 ...

Engineers at the Fraunhofer Institute for Silicon Technology (ISIT) recently developed a system that enables close ...

Research by the University of Cambridge has discovered a new form of material that reduces the energy consumed by AI hardware ...

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 ...

A team at the University of Cambridge has built a memristor chip that operates on switching currents about a million times lower than those of conventional oxide-based devices, a result that could ...

A tiny change at the boundary between two oxide layers may point to a less power-hungry future for artificial intelligence.

Researchers have developed a new kind of nanoelectronic device that could dramatically cut the energy consumed by artificial ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

A memristor design could change how AI chips work, cutting power use while enabling learning and adaptation. It points to a ...

Researchers at the University of Cambridge have developed a high-performance memristor using a specialized ...