Waymo uses evolutionary competition to improve its self-driving cars

The process of training self-driving car AI is seldom efficient when you need to either use a massive amount of computing power to train systems in parallel or else have researchers spend ages manually weeding out bad systems. Waymo might have a smarter approach: use the same principles that guide evolution. The company has partnered with DeepMind on a “Population Based Training” method for pedestrian detection that has the best neural networks advance much like lifeforms do in natural selection, saving time and effort.

https://www.engadget.com/2019/07/28/waymo-evolutionary-competition-self-driving-cars/