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

Computer scientists often assume that the brain works by approximations, and therefore that computing hardware inspired by the brain won’t be as good at complex math as traditional hardware.

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 ...

Great Sky is a company pioneering a fundamentally new computing architecture for AI. Today, the company announced the public debut of its technology, fundraising, and several major commercial ...

On October 31, 2025, researchers revealed a groundbreaking innovation: a brain-inspired computer prototype designed to bring self-learning artificial intelligence (AI) capabilities directly to mobile ...

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

Two people with paralysis were able to type strokes on a virtual keyboard using an implant that decodes attempted finger ...

A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that could help computer hardware keep pace with the explosive growth of ...

Synopsys PathFinder-SC signoff solution delivers improved precision for more accurate layout-level outcomes, manages design requirements, enables early-phase analysis ...

BrainGate researchers develop an investigational brain-computer interface that allows paralyzed patients to type at 22 words per minute using attempted finger movements.