AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

Why do some melodies feel instantly right, balanced, memorable and satisfying, even if you have never heard them before? New research from the University of Waterloo suggests that more than creativity ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Explore 2D linear drag by comparing analytical and numerical solutions in this clear and engaging physics tutorial. In this video, we break down the mathematics behind linear drag forces, demonstrate ...

OpenAI’s unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.

Opinion polarization is often considered as the primary driver of social friction, leading to exhaustive efforts to force a consensus. However, new research suggests a more pragmatic goal: reducing ...

Comprehensive repository offering official resources, detailed guides, and reference materials for Maplesoft Maple software on Windows PCs. Designed to support users with accurate documentation and ...

Kazimova D, Sadykova S, Kostangeldinova A, Tazhigulova G and Shertser A (2025) Developing geometric thinking through culturally contextualized mathematical modeling: a yurt-building lesson for ...

A few months before the 2025 International Mathematical Olympiad (IMO) in July, a three-person team at OpenAI made a long bet that they could use the competition’s brutally tough problems to train an ...

Mathematics may not be the first thing people associate with Alzheimer's disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.