University of Stanford and SLAC National Accelerator Laboratory of the Energy Department has found that artificial intelligence (AI) is capable of analyzing the complex distortion of gravitational lenses in the space by 10 million times faster than the old methods.
Stanford’s scientists have explained that the neural network which is the type of Artificial Intelligence is trained to categorize the various lenses occur in the space with the help of deep study of their appearance.
The latest upcoming telescopes, on which the scientists are working, are hopefully expected to uncover more of the lenses. Other than this, the big advantage of the neural network is that, it can be used via cell phones or laptops to analyze the gravitational lenses.
Currently, the 3.2 GP camera of LSST, i.e. The Large Synoptic Survey Telescope, is under construction in SLAC National Accelerator Laboratory. This camera is getting designed to provide unparalleled sample images of the universe. It is also expected to add in number of gravitational lenses discovered yet from some hundreds to thousands.
Neural network is designed with inspiring by the chromatic architecture of the human brain, in which the tasks of analyzing and processing is done in highest speed. Now in AI, the neurons can be defined as the smallest computational unit get analyzed, which is associated with the single pixel of an image.
Laurence Perreault Levasseur, a scientist from the University of Stanford said that, “Analyses that typically take weeks to months to complete, that require the input of experts and that are computationally demanding, can be done by neural nets within a fraction of a second, in a fully automated wayand in principle, on a cell phone’s computer chip.