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 ...

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 ...

A Janus MoSSe monolayer serves as a charge-trapping layer in 2D flash memory, achieving ultrafast programming, long data ...

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

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

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

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...

Forbes contributors publish independent expert analyses and insights. I'm a tech industry market research analyst that writes about 5G, Edge Computing, AI, Cloud Computing, IoT, Smart Devices and more ...

Get the latest federal technology news delivered to your inbox. Last year, the Department of Energy announced $2 million in funding for research on neuromorphic computing, which aims to mimic the ...

Computers have always kept thinking and remembering in separate rooms. The processor works over here; the memory sits over ...