In this video, we explain the axial dipole electric field approximation, showing how the field behaves along the axis of a dipole and why the far-field assumption simplifies the math. Clear reasoning ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Is artificial intelligence replacing human genius in mathematics, or redefining it? From the Navier-Stokes mystery to ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Recent advances in Vision Language Models (VLMs) have shown significant progress in mathematical reasoning, yet they still face a critical bottleneck with problems that require visual assistance, such ...

Recently, Artificial Intelligence (AI) has reached a historic milestone in one of the world’s toughest math contests, the International Mathematical Olympiad (IMO). Google DeepMind’s Gemini Deep Think ...

Language models have made significant strides in tackling reasoning tasks, with even small-scale supervised fine-tuning (SFT) approaches such as LIMO and s1 demonstrating remarkable improvements in ...

Mathematicians excel at handling complexity and uncertainty. Mathematical reasoning strategies aren't just useful for dilemmas involving numbers. We can apply math mindsets to improve our approach to ...

Large language models have demonstrated remarkable problem-solving capabilities and mathematical and logical reasoning. These models have been applied to complex reasoning tasks, including ...