Take the pledge to vote

For a better tommorow#AajSawaroApnaKal
  • I agree to receive emails from News18

  • I promise to vote in this year's elections no matter what the odds are.
  • Please check above checkbox.

    SUBMIT

Thank you for
taking the pledge

Vote responsibly as each vote counts
and makes a diffrence

Disclaimer:

Issued in public interest by HDFC Life. HDFC Life Insurance Company Limited (Formerly HDFC Standard Life Insurance Company Limited) (“HDFC Life”). CIN: L65110MH2000PLC128245, IRDAI Reg. No. 101 . The name/letters "HDFC" in the name/logo of the company belongs to Housing Development Finance Corporation Limited ("HDFC Limited") and is used by HDFC Life under an agreement entered into with HDFC Limited. ARN EU/04/19/13618
News18 » Auto
1-min read

Waymo, DeepMind Collaborate to Improve Self-Driving Cars

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.

IANS

Updated:July 30, 2019, 1:15 PM IST
facebookTwitterskypewhatsapp
Waymo, DeepMind Collaborate to Improve Self-Driving Cars
A Waymo self-driving vehicle moves through an intersection in Chandler Arizona, U.S., December 2, 2017. (Photo: Reuters)
Loading...

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.

"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.

Get the best of News18 delivered to your inbox - subscribe to News18 Daybreak. Follow News18.com on Twitter, Instagram, Facebook, TikTok and on YouTube, and stay in the know with what's happening in the world around you – in real time.

Subscribe to Moneycontrol Pro and gain access to curated markets data, trading recommendations, equity analysis, investment ideas, insights from market gurus and much more. Get Moneycontrol PRO for 1 year at price of 3 months. Use code FREEDOM.

Read full article
Loading...
Next Story
Next Story

Also Watch

facebookTwitterskypewhatsapp

Live TV

Loading...
Countdown To Elections Results
To Assembly Elections 2018 Results