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 ...

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 ...

German scientists are building a brain-like neuromorphic computer that replaces traditional transistors with microscopic LEDs, in order to significantly reduce the power required to run AI systems.

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

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency. (Nanowerk News) A research team based at Xidian ...

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

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 ...

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 ...