Quinn Mallory (Jerry O'Connell) holds his sliding timer in Sliders Season 1 Episode 1. Syfy.com All five seasons of Sliders — the 1995–2000 Fox and Sci Fi Channel series about a team of accidental ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

Dylan Kane likes his math curriculum. But there’s one important piece missing, he says. The 7th grade math teacher in Leadville, Colo., uses a program that teaches math skills through real-world ...

How Emmy Noether's theorem uses the Lagrangian to provide a formula for calculating the quantity of symmetries in a ...

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

Whether you’re a college student enrolled in a calculus course or a professional accountant with your own firm, having a dedicated calculator is essential to your success. These purpose-built devices ...

Whenever I get coffee with a mathematician, I always ask which of the seven Millennium Problems they think will be next to fall. These are math’s most famous open questions. Solve one, and you’ll win ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Brain teasers are fun little puzzles that make you think in different ways. They might look simple at first, but they often have a twist that surprises you. Solving them gives your brain a good ...

Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for ...

Abstract: In this article, we propose an efficient numerical method to solve nonlinear filtering (NLF) problems. Specifically, we use the tensor train decomposition method to solve the forward ...

This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...