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.

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, ...

Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...

A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing research landscape, encapsulating the notable progress in swiftly expanding ...

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 ...

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

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...

What are the most compelling scientific questions in memristive materials for neuromorphic processing, and what are promising future research directions for the field? The National Academies' ...