The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

AlphaProof and AlphaGeometry 2 are steps toward building systems that can reason, which could unlock exciting new capabilities. AI models can easily generate essays and other types of text. However, ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

How much longer will we keep trying to solve our nation’s dismal math proficiency problem by writing new math problems? Clearly, if that was the answer, it would have worked by now–but it hasn’t, as ...

Many students struggle with mathematics at some stage in their educational journey, and similarly it is the same with their parents—they were students too right? And not everyone was good at math.

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Google DeepMind’s AlphaProof and AlphaGeometry 2 are milestones for AI reasoning. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox ...

24-year-old founder and CEO Carina Hong created Axiom Math in March 2025 and has recruited a team of ten employees, most of whom are from Meta, to build a math-focused AI model. Last fall, Carina Hong ...

International tests scores released this month provide further evidence that U.S. students are behind where they should be in math, a problem that has huge implications for their success in school and ...

WWDC 2024 hype season is upon us! We’re a little over a week away from Apple’s annual developer conference, where the company is expected to announce new versions of all of its platforms, including ...

(THE CONVERSATION) Among high school students and adults, girls and women are much more likely to use traditional, step-by-step algorithms to solve basic math problems – such as lining up numbers to ...