Fifty potential planets have had their existence confirmed by a new machine learning algorithm developed by University of Warwick scientists. For the first time, astronomers have used a process ...

Fifty potential planets have been confirmed by a new machine learning algorithm developed by University of Warwick scientists.

All 301 machine-validated planets were originally detected by the Kepler Science Operations Center pipeline and promoted to planet candidate status by the Kepler Science Office.

Researchers used a machine learning model to search for exoplanets with protoplanetary disks, and found one that had previously been missed.

Thanks to a new deep neural network called ExoMiner, NASA has discovered a whopping 301 new exoplanets.

NASA and Google collaborated to find two new alien planets in a huge dataset by using machine learning.

Google's PlaNet is an AI agent that's exceptionally good at predicting future actions in unfamiliar environments. It's available in open source.

Deep Learning for the Planet As artificial intelligence develops, there is an increasing focus on developing solutions for the world’s greatest challenges, including how to take better care of ...

Fifty potential planets have had their existence confirmed by a new machine learning algorithm.