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

Watch out, nerdy high schoolers, AlphaGeometry is coming for your mathematical lunch. Credit...Christian Gralingen Supported by By Siobhan Roberts Reported from Stanford, Calif. For four years, the ...

The original version of this story appeared in Quanta Magazine. In 1917, the Japanese mathematician Sōichi Kakeya posed what at first seemed like nothing more than a fun exercise in geometry. Lay an ...

For all of the recent strides we’ve made in the math world—like a supercomputer finally solving the Sum of Three Cubes problem that puzzled mathematicians for 65 years—we’re forever crunching ...

DeepMind, the Google AI R&D lab, believes that the key to more capable AI systems might lie in uncovering new ways to solve challenging geometry problems. To that end, DeepMind today unveiled ...

Two effective manipulatives that can be used to support fractions and base 10 learning are base 10 blocks and Cuisenaire rods ...

Google's second generation of its AI mathematics system combines a language model with a symbolic engine to solve complex geometry problems better than International Mathematical Olympiad (IMO) gold ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

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Add Yahoo as a preferred source to see more of our stories on Google. We like to think that we're pretty good at math, especially after years of schooling. But every once in a while, a simple ...