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.

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

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 ...

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...

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. Pixabay, ...

A team of researchers from Texas A&M University, Sandia National Lab - Livermore, and Stanford University are taking lessons from the brain to design materials for more efficient computing. The new ...

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

SpiNNcloud Systems today announced that its cutting-edge supercomputing platform, built on the SpiNNaker2 architecture, has been adopted by the Neuromorphic Commons (THOR), marking a major milestone ...

The human brain is an astonishing organ, as any neuroscientist can attest. And its ability to collect, store, analyze and use information is intriguing to physicists, engineers and computer scientists ...

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 ...

The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is ...

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 ...