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 ...

Introducing new math concepts via already-worked examples can give students a significant boost in learning. But choosing the right problems makes a big difference. An analysis earlier this year of ...

Video: What about shape data? How does that factor into new AI/ML models? We've heard a lot – an amazing amount, actually – about data science applications for AI, with media like images, videos, ...

Artificial intelligence systems may be good at generating text, recognizing images, and even solving basic math problems—but when it comes to advanced mathematical reasoning, they are hitting a wall.

Its performance matches the smartest high school mathematicians and is much stronger than the previous state-of-the-art system. Google DeepMind has created an AI system that can solve complex geometry ...

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Google has added a bunch of examples to the potentialAction.mathExpression-input section of the Math Solver help documentation. These examples explain how to handle derivatives, integrals, and limits ...

Eigenvalue problems occupy a central role in Riemannian geometry, providing profound insights into the interplay between geometry and analysis. At their core, these problems involve the study of ...