DeepMind has reported on its cutting-edge artificial intelligence model, AlphaGeometry, which can solve mathematical problems in the field of geometry at a level comparable to Olympic-level mathematicians.
This test utilized the IMO-AG-30 test set, which consists of 30 geometry-related math problems. AlphaGeometry was able to solve 25 of these problems, while the previous best model could only solve 10. Within the model, there is a natural language model that presents broad strategies for problem-solving, while the symbolic deduction engine demonstrates the actual step-by-step process to reach the desired answer.
This year, there will be an Olympic mathematics competition for AI, but AlphaGeometry can only tackle geometry-related problems. Typically, the actual competition consists of only 2 out of 6 geometry problems. Developing AI models to solve real Olympic-level mathematical problems is still a work-in-progress.
DeepMind has released the model and code under the Apache 2.0 license, making it available for practical use.
TLDR: DeepMind has developed AlphaGeometry, an AI model that can solve geometry problems at a level comparable to top mathematicians. Using the IMO-AG-30 test set, AlphaGeometry solved 25 out of 30 problems, while the previous best model only solved 10. This model combines a natural language presentation of problem-solving strategies with a symbolic deduction engine for step-by-step solutions. However, it is currently limited to geometry problems and still requires further development to tackle a full range of Olympic-level math problems. DeepMind has made the model and code available under the Apache 2.0 license.
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