US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Since former F1 race director Charlie Whiting’s death in 2019, interventions by stewards and race control have become a major point of contention. Could this be fixed by having fewer rules, rather ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write ...

If you're struggling with math, these best math AI tools can help you solve those complex problems and equations with ease.

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Mathematics education must move beyond marks and memorisation, focusing instead on reasoning, problem-solving, and creative ...

Can you solve the elementary school problem that divided the internet in less than 30 seconds? Test your might in this seemingly easy challenge that many failed.

Since combinatorial optimization problems (COPs) are a class of non-deterministic polynomial-time (NP)-hard problems, it is impracticable to solve them in brute-force searches, which results in high ...