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Friday, Aug 23, 2019

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.

tech Updated: Jul 29, 2019 17:33 IST
Indo Asian News Service
Indo Asian News Service
San Francisco
Reuters reporter Alexandria Sage steps out of a Waymo self-driving vehicle during a demonstration in Chandler, Arizona, November 29, 2018. REUTERS/Caitlin O’Hara
Reuters reporter Alexandria Sage steps out of a Waymo self-driving vehicle during a demonstration in Chandler, Arizona, November 29, 2018. REUTERS/Caitlin O’Hara(REUTERS)
         

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. 

First Published: Jul 29, 2019 17:33 IST

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