Google employs its AI technology to successfully tackle a highly challenging mathematical problem

Google continues to advance in the field of artificial intelligence thanks to divisions like DeepMind, which are entrusted with building new artificial intelligence solutions. And recently, DeepMind’s Large Language Model (LLM) was able to solve a complex math problem that many thought was unsolvable.

What’s interesting about the results is that LLM wasn’t fed any data related to the problem, in fact the AI model was able to derive new information that wasn’t there before, as Pushmeet Kohli, VP of research, mentioned. Google at DeepMind, cited in this report.

The DeepMind team has a new tool called FunSearch that has made it possible to solve these problems and show people that AI can work outside of the educational data fed to LLMs.

It is mentioned that FunSearch solves fundamental problems in mathematics and computer science, and DeepMind has this purpose by using its artificial intelligence technology. The fascinating thing about FunSearch is that it uses existing data that is a mix of wrong or otherwise rejected answers.

It seems that the whole model was made up of random observations and hypotheses that DeepMind researchers didn’t know if it would work or not. Many in Google’s AI division feel that FunSearch has much more potential and advantage over AlphaTensor, giving it more room to develop and grow as a language model in the near future.

The DeepMind team decided to further test FunSearch’s ability by throwing another complex math problem at it, and the results were a complete surprise to everyone at DeepMind, as FunSearch was able to solve it faster than most other models had done so far.

Google is bringing more AI technology to market-ready products, and Gemini is getting the attention it deserves this week as the AI model is now available to people using smartphones, to their computers through Bard, and to businesses.