Katie has a PhD in maths, specializing in the intersection of dynamical systems and number theory. She reports on topics from maths and history to society and animals. Katie has a PhD in maths, ...

I will never forget this one day when Kevin was a preschooler. We had an IEP meeting, and one of his proposed math IEP goals was to be able to visualize and identify what 2 of something looks like or ...

Math doesn't end when school does. From interpreting charts and evaluating discounts to managing budgets, analyzing data, and making workplace decisions, basic numeracy plays a larger role in daily ...

The ICSE has officially released the Class 9 Mathematics syllabus for the 2026–27 academic year. The board has directed its focus on building critical-based learning, shifting students' focus from ...

“If you are a mathematician,” one of the world’s leading mathematicians recently wrote, “you may want to make sure you are sitting down before reading further.” And you’ll definitely need to sit down ...

This story was originally published by CalMatters. Sign up for their newsletters. Just a few months after California overhauled the way it teaches children to read, a new bill takes on math education ...

California’s Math Scores Are Abysmal. Is It Time to Screen Kindergartners for Basic Math Skills? Just a few months after California overhauled the way it teaches children to read, a new bill takes on ...

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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.

Here’s a contrarian truth that cuts through much of today’s AI hype: When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing ...

Dr. Clayton is a mathematician. Candidates for quantitative jobs — like those on Wall Street or in Silicon Valley — are sometimes asked offbeat questions such as: How many Ping-Pong balls fit in a 747 ...

Researchers at Stanford and Caltech have found some critical reasoning failures in advanced AI models. LLMs are great at recognizing patterns, but they have trouble with basic logic, social reasoning, ...