Advances in artificial intelligence have helped accelerate astronomical research. was looking for proof 301 new exoplanetsThat is, planets that orbit a star other than the Sun and therefore separate from our planetary system.
to searches. thanks to a new feature of machine learning, named ExoMiner. It is capable of detecting an exoplanet thus providing greater accuracy to the search process.
NASA (US Space Agency) explained on its website that ExoMiner uses the NASA Kepler and K2 mission databases, which provide a list of studies containing candidates for the exoplanet catalogue.
Through ExoMiner, human intelligence characteristics, coupled with system accuracy, are able to project reliable results fairly rapidly. According to a NASA statement, they are millions of stars In the field of view, it identifies that each star has the potential to uncover exoplanets.
By examining statistical data with artificial intelligence and parameters already used to identify other exoplanets, ExaMinor gains accuracy and speed for results. Currently, in addition to the new 301, there are already 4,569 identified exoplanets.
Exoplanets do not have the ability to harbor life and therefore cannot be colonized. These planets have no Earth-like features, but they serve as objects of study. NASA also announced that it is a . will continue to adjust even more accuracy,
