Quantum computing holds promise for complex financial modelling, but current technology is limited by noise and qubit count, with practical applications still years away, despite theoretical speed-ups ...

Whether they are designing robots, solving problems or teaching others, Kirtland students are learning a range of skills in the school district’s FIRST programs. Students on the district’s FIRST ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Tao: Today there are a lot of very tedious types of mathematics that we don’t like doing, so we look for clever ways to get ...

Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.

Abstract: Science and engineering problems fall in the category of complex conceptual problems that require specific conceptual information (CI) like mathllogic-related know-how, process information, ...

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

People have long believed that dreams spark creativity. But the idea that REM sleep dreams directly help with problem‑solving doesn’t have strong scientific proof yet. Past experiments have been ...

One American company is working to replace a key, rare earth mineral used by the military by using a technology of its own. LightPath Technologies , an Orlando, Florida-based optics and photonics ...