How machine learning helps scientists track asteroids
December 4, 2018
84,440
1,135
54
1.41%
Search the Record
IndexedEvery word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
Google Episodes Around December 4, 2018
See what was published immediately before and after this episode.
1:22Now PlayingHow machine learning helps scientists track asteroids
YouTube Description
as posted by the channelWhen NASA issued a worldwide challenge to help them better track the asteroids and comets that surround Earth, Gema Parreño answered the call. She used #TensorFlow, Google’s machine learning tool, to create a program called Deep Asteroid, which helps identify and track Near Earth Objects.
Special thanks to the Royal Observatory of Madrid. Learn more about them here
Watch the next video in the series here
Links & Promotions
Guests & Subjects Covered
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.









