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 ...

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

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.

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

Can machine learning be used to advance exoplanet science, and can this be done by non-scientists, as well? This is what Ariel Data Challenge 2024 hopes to address as participants from around the ...

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.

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