To look for and characterize dark matter, the same sort of neural networks that create facial recognition instruments are now being used. All matter, including dark matter, in the observations produced by our telescopes is capable of slightly bending light rays and causing “soft gravitational lensing.” These distortions can be used by scientists to map night sky areas where dark matter is most probable to be located. The gravity of thematter cannot explain many of the movements of different stars and galaxies. Traditionally, the technique outlined with maps is performed using human-designed statistics that assist clarify how sections of the maps relate to each other. The issue with this technique is that it is not well adapted to detect the complicated patterns in such maps.
