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.

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 ...

Professors Svetlana Mojsov and Carlos Kenig, among other eminent figures, were selected to win the 48th session of the prize.

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

Solving partial differential equations (PDEs) is a required step in the simulation of natural and engineering systems. The associated computational costs significantly increase when exploring various ...