Google And University Researchers Are Using Deep Learning To Discover Exoplanets
Researchers from Google and multiple universities have discovered two new exoplanets (planets outside our solar system) using a convolutional neural network dubbed AstroNet K2. An additional 14 other objects could be also be identified as exoplanets with additional research.
The announcement builds upon research released last year by Harvard University astrophysicist Andrew Vanderburg and Google AI’s Chris Shallue, which also uses machine learning to sift through NASA’s Kepler data to find celestial bodies in space. Google later open-sourced its exoplanet-searching model trained with Kepler data on GitHub.“The work is significant because this is the first time that a neural network has ever been successfully applied to K2 data,” Dattilo told VentureBeat in a phone interview. “Different types of machine learning have been applied to all various types of astronomical datasets like its predecessor was on Kepler data, but there are different challenges that go with K2 data because the telescope was unstable.” READ MORE ON: VENTUREBEAT