Researchers have developed a brain-inspired nanoelectronic device that could significantly reduce the energy demands of artificial intelligence systems.

A team of researchers has built a neuromorphic computing platform from networks of hydrogenated nickelate junctions that ...

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

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 ...

(ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading developer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced a strategic collaboration with ForwardEdge ASIC, a wholly ...

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 ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent in a ...

In July, a group of artificial intelligence researchers showcased a self-driving bicycle that could navigate around obstacles, follow a person, and respond to voice commands. While the self-driving ...

An international team comprised of 23 researchers has published a review article on the future of neuromorphic computing that examines the state of neuromorphic technology and presents a strategy for ...