Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.

The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

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 have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

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

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 ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...