The Computer Vision group in Stony Brook University’s AI Institute, has cracked the Top Ten in Computer Vision, nationally, according to CSRankings. CSRankings is “a metrics-based ranking of top computer science institutions around the world,” which seeks to recognize faculty and institutions who are fervently committed to computer science research.

On January 9-10, 2020, the Department of Technology and Society, Stony Brook University, hosted an NSF funded workshop entitled “Data Science Across the Undergraduate Curriculum: University-Industry Online Case Studies on Applications of Data Science.“ This workshop is supported by the National Science Foundation under Grant No. 1912159. 

A critical next step in AI system development is applying common-sense knowledge to infer and react to a situation as a human would. When people communicate with each other, they don’t need to explicitly say everything about a situation to decide what an appropriate action would be. Humans can understand what is inferred, even when details are left out. Stony Brook researchers are leading a collaborative project to teach AI systems to make such interpretations.