Machine Learning Times
Machine Learning Times
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

4 months ago
AlphaGeometry: An Olympiad-Level AI System for Geometry

Originally published in Google DeepMind, Jan 17, 2024.  

Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics

Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena for the world’s brightest high-school mathematicians. The competition not only showcases young talent, but has emerged as a testing ground for advanced AI systems in math and reasoning.

In a paper published today in Nature, we introduce AlphaGeometry, an AI system that solves complex geometry problems at a level approaching a human Olympiad gold-medalist – a breakthrough in AI performance. In a benchmarking test of 30 Olympiad geometry problems, AlphaGeometry solved 25 within the standard Olympiad time limit. For comparison, the previous state-of-the-art system solved 10 of these geometry problems, and the average human gold medalist solved 25.9 problems.

In our benchmarking set of 30 Olympiad geometry problems (IMO-AG-30), compiled from the Olympiads from 2000 to 2022, AlphaGeometry solved 25 problems under competition time limits. This is approaching the average score of human gold medalists on these same problems. The previous state-of-the-art approach, known as “Wu’s method”, solved 10.

To continue to read this article, click here.

4 thoughts on “AlphaGeometry: An Olympiad-Level AI System for Geometry

  1. Pingback: High-level AI system for geometry in Olympiad competition #MachineLearning

  2. While the Cadillac Escalade has been a popular luxury SUV, there are certain model years that potential buyers may want to approach with caution. Some consumers and automotive experts have identified specific years that experienced reliability issues, technological shortcomings, or other concerns. For instance, the third-generation Escalade, particularly the 2007 model year, has been highlighted for its transmission problems and electrical issues. Additionally, the 2015 Escalade faced criticism for its infotainment system and various recalls. It’s advisable for buyers to thoroughly research and consider expert reviews before making a purchase decision, taking note of any reported problems associated with particular model years.


Leave a Reply