Google’s DeepMind AI Can Solve Math Problems on Par with Top Human Solvers

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Google’s DeepMind AI Can Solve Math Problems on Par with Top Human Solvers
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Google’s AlphaGeometry2 AI reaches the level of gold-medal students in the International Mathematical Olympiad

Wirestock, Inc./Alamy Stock PhotoI agree my information will be processed in accordance with the Scientific American and Springer Nature LimitedA year ago AlphaGeometry, an artificial-intelligence problem solver created by Google DeepMind, surprised the world by, a prestigious competition that sets tough maths problems for gifted high-school students.

“I imagine it won’t be long before computers are getting full marks on the IMO,” says Kevin Buzzard, a mathematician at Imperial College London.. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. For AlphaGeometry2, the team made several improvements, including the integration of Google’s state-of-the-art large language model, Gemini. The team also introduced the ability to reason by moving geometric objects around the plane — such as moving a point along a line to change the height of a triangle — and solving linear equations.

The authors of the DeepMind paper write that future improvements of AlphaGeometry will include dealing with maths problems that involve inequalities and non-linear equations, which will be required to to “fully solve geometry.”The first AI system to achieve a gold-medal score for the overall test could win a US$5-million award called the AI Mathematical Olympiad Prize — although that competition requires systems to be open-source, which is not the case for DeepMind.

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