Stefan Mileschin

Improved 50 years worth of maths classes

Google’s DeepMind has been using applied reinforced learning techniques to the multiplication of mathematical matrices and can do it better than some 50 year-old human-made algorithms.

Bored with beating human chess players, DeepMind has been trackling mathematical problems.

The lab said it developed a way to automate the discovery of algorithms that act as shortcuts when multiplying matrices.

Mathematicians have been applying algorithms to perform array multiplications, some of which are used in computer science, particularly in machine learning and AI.

DeepMind researcher Alhussein Fawzi and his colleagues created AlphaTensor, that plays a game in which the goal is to find the best approach to multiplying two matrices. If the AI agent does well, it is reinforced to make future success more likely.

https://fudzilla.com/news/ai/55615-d...matrices-maths