Waymo, DeepMind to work together to improve self-driving cars
Waymo’s self driving cars will soon employ neural networks to perform tasks such as detecting objects and even predicting how others will behave.

Alphabet-owned Waymo has partnered with UK-based computer programmes company DeepMind on a 'Population-Based Training' method for pedestrian detection that has the best neural networks like life forms do in natural selection, thus, saving time and effort.
According to the company, Waymo's self-driving vehicles employ neural networks to perform many driving tasks, from detecting objects and predicting how others will behave, to planning a car's next moves.
"Now, Waymo, in a research collaboration with DeepMind, has taken inspiration from Darwin's insights into evolution to make this training more effective and efficient," Yu-hsin Chen, Senior Software Engineer at Waymo recently wrote in a blog post.
ALSO READ: Tesla may run on Indian roads in 2020: Elon Musk
"To make this process more efficient, researchers at DeepMind devised a way to automatically determine good hyperparameter schedules based on evolutionary competition (called 'Population-Based Training' or PBT), which combines the advantages of hand-tuning and random search," Chen added.
Like random search, PBT also starts with multiple networks initiated with random hyperparameters.
Catch all the Latest Tech News, Mobile News, Laptop News, Gaming news, Wearables News , How To News, also keep up with us on Whatsapp channel,Twitter, Facebook, Google News, and Instagram. For our latest videos, subscribe to our YouTube channel.
