Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Swirling magnetic whirlpools help to process data in a pattern-recognition device that mimics networks in the brain A computing device that uses tiny magnetic swirls to process data has been trained ...

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 ...

Tsinghua University–China Electronics Technology HIK Group Co. Joint Research Center for Brain-Inspired Computing has the following research output in the current window (1 September 2024 - 31 August ...

THOR is a first-of-its-kind U.S. initiative funded by the National Science Foundation (NSF) to democratize access to large-scale, heterogeneous neuromorphic computing infrastructure. By integrating ...

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 next ...

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 ...

Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...