The Evolution of Astronomical AI - DataScienceCentral.com

A new class of extremely large telescopes has evolved to collect vast amounts of data; The volume of data collected from an entire survey ten years ago can now be collected in one night. One example of these new generation telescopes is fifth Sloan Digital Sky Survey (SDSS-V), launched in 2020 and slated to collect optical and infrared spectra for more than six million objects during its five-year lifetime [1]. Human inspection is wholly inadequate for dealing with millions of pieces of fuzzy and distorted images. Even traditional, centralized data processing systems can't keep up with the petabytes of astronomical data emerging from new surveys. The solution is a new field called Astro information, which astronomy with machine learning and AI to search for habitable exoplanets, estimate red shifts, and classify galaxies and supernovas [2].