San Francisco: A Google model based on Artificial Intelligence (AI) and Machine Learning (ML) that helped NASA discover two exoplanets, is now available for researchers to process data from Kepler Space Telescope.
The "TensorFlow" model decoded massive sets of data from NASA's Kepler Space Telescope to discover two exoplanets last year, including one that has the first known eight-planet system like ours.
One of the two newly-discovered planets is Kepler-90i -- a sizzling hot, rocky planet that orbits its star once every 14.4 days. This marked the discovery of an eighth planet circling Kepler-90, a Sun-like star 2,545 light-years from Earth - making it the first known eight-planet system outside of our own.
"We're excited to release our code for processing the Kepler data, training our neural network model and making predictions about new candidate signals," Chris Shallue, Senior Software Engineer, Google Brain Team, said in a blog post.
Google hopes the open-sourced code will prove a useful starting point for developing similar models for other NASA missions, like K2 (Kepler's second mission) and the upcoming "Transiting Exoplanet Survey Satellite" mission.
To search for planets in Kepler data, scientists used automated software to detect signals that might be caused by planets and then manually followed up to decide whether each signal is a planet or a false positive.