Crater-Counting AI Algorithm Discovers ~7,000 Moon Craters, Advances Extraterrestrial Mapping Techniques

 Moon Crater Identification Project Led By Ari Silburt At Penn State University And Mohamad Ali-Dib At University Of Toronto Uses Algorithm To Find Craters >5-km Diameter, Leads To Discovery Of 6,883 New Craters In Only A Few Hours & Confirms Previously Known Craters With Very Few Errors; Lunar Craters Are Significant For Solar System Origin Clues, Establishing Areas Of Interest For Exploration, Science, Sample Return, Human Settlement; Artificial Intelligence Mapping Techniques For Big Data Could Be Used For Solar / Extrasolar Systems, Geologic / Other Observations

Credits: NASA, JPL, Caltech, Ari Silburt (L), Mohamad Ali-Dib (R), Univ. of Toronto, PSRD, David Trang, LROC WAC, et al