Advances in artificial intelligence have aided astronomical research in an accelerated way. Proof of this is the discovery of 301 new exoplanetThat is, planets that revolve around a star other than the Sun and are therefore different from our planetary system.
Discoveries made thanks to a new feature of machine learning, His name is ExoMiner. It is capable of detecting an exoplanet and thus gives more accuracy to the discovery process.
NASA (the US space agency) states on its website that ExoMiner uses the NASA Kepler and K2 mission database, which provides a list of studies with candidates for the list of exoplanets.
With ExoMiner, the characteristics of human intelligence, combined with the accuracy of the system, can display reliable results significantly faster. According to a statement from NASA, they are Millions of stars In the field of view, this determines that each star has the ability to open exoplanets.
By examining statistical data with artificial intelligence and parameters already used to identify other exoplanets, ExaMinor achieves the accuracy and speed of the result. Currently, there are already 4,569 identified exoplanets, in addition to the new 301.
Exoplanets do not have the capacity to harbor life, and therefore cannot be colonized. There are no Earth-like features on these planets, but they serve as an object of study. NASA also announced that it will continue to make modifications to the . file Greater accuracy.
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