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 ...

Some things are easier to achieve if you're not alone. As researchers from the University of Rostock, Germany have shown, ...

Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to ...

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

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

Amtrak says dynamic pricing has helped strengthen its finances, but travelers often grumble at the cost, especially for ...

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

For companies building real AI and software technology, patent eligibility under §101 has been a persistent frustration. Innovations grounded in ...

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

Quantum technologies are supposed to revolutionize the way we calculate, communicate, and measure. But where do we really ...