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 ...

For the physics and geometry solver, Google leveraged its Multitask Unified Model (MUM), which understands specific search queries across various formats, including text, images and videos.

The system was able to solve 84% of all geometry problems set in IMOs over the past 25 years, compared with the 54% achieved by the original AlphaGeometry.

Yet, math experts aren’t convinced that an AI made to solve high school-level math problems is ready to take off the training wheels and tackle more difficult subjects, e.g. advanced number ...