NASA uses Google’s machine learning to discover a new exoplanet

NASA’s Kepler telescope has collected more than 15,000 records that have been analyzed by Google’s machine learning algorithms and discovered an exoplanet. The fact that this exoplanet was discovered by machine learning remains a first. In fact, the analysis of the variations of brightness of a star proves very complex and very long to analyze, hence the idea of automating this analysis with an artificial intelligence.

The Kepler-90i discovered exoplanet is 30% larger than the Earth, but it is so close to its Sun that its surface temperature can reach 500 ° C. So, it’s a planet that is not viable for humans. The Kepler-90 system is similar to our solar system, but more compact, and the planets are very close to their star, implying that they rotate much faster, and so a year lasts 14 days on Kepler-90i.

About Nicolas Chen 61 Articles
Nicolas Chen is the Founder and President of OpenDeepTech. He is also a Software Engineer who worked in many companies in various sectors such as automotive, aeronautics, defense, medical and robotics.

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