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

Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen ...

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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

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

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

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 ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Download Maple – advanced mathematics and symbolic computation. Maple represents a comprehensive environment for mathematical exploration and technical problem solving, blending symbolic computation ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...