OpenAI launches Lockdown Mode and Elevated Risk warnings to protect ChatGPT against prompt-injection attacks and reduce data-exfiltration risks.

Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...

Mathematicians from the California Institute of Technology have solved an old problem related to a mathematical process called a random walk.

Mid-career workers are facing real anxiety about AI. Tackling that by upskilling has been a painful but rewarding process, says Liang Kaixin.

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

After years of assigning the kind of homework she had done as a student and observing students’ disengagement with it, a teacher overhauled how she assigns math practice.

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexity. The libraries support modern Python use cases, ...