Artificial Intelligence identifies 50 new planets from NASA data

In a groundbreaking first, British researchers have identified 50 new planets using artificial intelligence. A research team led by David Armstrong at the University of Warwick in the United Kingdom created a machine learning algorithm and trained it using data on confirmed planets and false-positives from NASA's retired Kepler mission. The scientists then used the algorithm on a dataset of still unconfirmed planetary candidates from Kepler, resulting in fifty new confirmed planets and the first to be validated by machine learning. Also read: Growing dent on Earth's magnetic field can damage satellites and navigation Their results were reported in a new study published in the Monthly Notices of the Royal Astronomical Society, where they also perform the first large scale comparison of such planet validation techniques. Previous machine learning techniques have ranked candidates, but never determined the probability that a candidate was a true planet by themselves, a required step for planet validation. By confirming that these fifty planets are real, astronomers can now prioritise these for further observations with dedicated telescopes.