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

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 ...

Initiative aims to publish a formally verified implementation of Shor’s quantum factoring algorithm with relevance to cryptography and other high-value domains ...

What would it take to turn the entire cosmos into software-down to the rules that generate space and time? For decades, the simulation hypothesis has resided comfortably in the gap between philosophy ...

The left, which has played a recognized role in advancing freedoms, equality, and justice, can overcome the current situation ...

Think about the last time you searched for something complex. Did you scroll through ten different links, opening tabs and ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

When light emanates from distant stars, planets, and galaxies, it travels through Earth's atmosphere before it hits our eyes. Because shifting pockets of air affect the light traveling through the ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...