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

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

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

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

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Zapata Quantum, Inc. (“Zapata”, “Zapata Quantum”), a pioneer in quantum computing application and algorithm development, ...

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 ...

What would it take to turn the entire cosmos into software-down to the rules that generate space and time? For decades, the ...

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...