RaderonLab Astronomy Department
The incredible advancement in computer power, the availability of large amounts of data, and the ability to process them, combined with a theoretical understanding of techniques like machine learning and, more broadly, data mining, have allowed AI to advance at a breakneck pace.
AI is adopted for a wide variety of tasks and is becoming increasingly popular in astronomy. Machine Learning (ML) uses various analysis methods under supervised, and unsupervised conditions in order to provide streaming information, such as interpretation, classification, regression, prediction, and more, which now have a real impact on all areas of astronomy. Scientists have employed machine learning in a variety of fields, including galaxy morphology, exoplanet discoveries, transient objects, solar activity prediction, quasars, and more.
Data analysis must become more automated and efficient to a considerable extent, particularly using AI. And this is exactly what is going on.