Google Deepmind says that a new artificial intelligence system has made a major breakthrough in one of the most difficult tests for AI. The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students. Geometry is one of the oldest branches of mathematics, but has proven particularly difficult for AI systems to work with. It has been difficult to train them because of a lack of data, and succeeding requires building a system that can take on difficult logical challenges. Typically, engineers train such systems using machine learning, which involves providing them with data on how to successfully complete a task, and have them learn how to do so. But there are few such human demonstrations available for proving theorems, especially in geometry. Instead, researchers say they used a different approach to build the new system known as AlphaGeometry. They instead used a language model that was able to train itself by synthesising millions of theorems and their proofs, and then combined that with a system that can search through branching points in challenging problems. Taken together, that system is able to learn and then solve complex geometrical problems without human input, the creators claim. It was put to the test with 30 problems from the International Mathematical Olympiad, which is a competition in which the top-performing high school students are asked to prove mathematical theorems. AlphaGeometr was able to solve 25 of them. That is far better than the previous best method, which was only able to solve 10 problems. It gets it close to the average gold medallist, who solved 25.9 theorems.
Full report : Google Deepmind AI makes breakthrough in one of hardest tests for artificial intelligence.
