More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...

Studying the epic journey of the iconic jumping plumber can lead to new insights in theoretical computer science—and may help ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

GenAI’s breakthrough in mathematics offers a lesson for medicine: solving healthcare’s biggest problems means questioning old ...

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...

The first Minecraft 26.2 pre-release is here for Java Edition, but there's some bad news if you've been taking advantage of the sandbox game's new peer-to-peer multiplayer, which was implemented in a ...

In October 2024 I attended a workshop at Harvard University where mathematicians talked through the uses of artificial intelligence in their field. Most were less worried about the future of math than ...

Math is everywhere. For college students, it might mean balancing a budget, making sense of financial aid forms or getting through at least a math course or two, no matter your degree program. Beyond ...

Mathematician Kevin Buzzard of Imperial College London is training computers how to prove one of the most famous problems in math history: Fermat’s last theorem. Resolving the problem isn’t the point.

Abstract: Modern machine learning (ML) and deep neural networks (DNNs) often operate on high-dimensional data and rely on overparameterized models, where classical low-dimensional intuitions break ...

A physicist challenges the core idea of quantum mechanics, that events are truly random. He says a hidden framework of rules may influence outcomes. That’s because our current math makes quantum ...