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.

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its ...

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 ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that bubbles never truly settle and instead keep moving through many possible ...

Foams are everywhere: soap suds, shaving cream, whipped toppings and food emulsions like mayonnaise. For decades, scientists ...

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