The SNAD team, an international network of researchers including Matvey Kornilov, Associate Professor of the HSE University Faculty of Physics, has discovered 11 previously undetected space anomalies, seven of which are supernova candidates. The researchers analyzed digital images of the Northern sky taken in 2018 using a k-D tree to detect anomalies through the ‘nearest neighbor’ method. Machine learning algorithms helped automate the search. The paper is published in New Astronomy.
Click here for original story, AI helps discover new space anomalies
Source: Phys.org