The University of North Carolina at Chapel Hill will use a $500,000 project grant from the National Science Foundation Division of Information and Intelligent Systems to support research titled "From a Machine Detector to a Machine Detective: Decisions and Queries with Uncertain and Incomplete Information." The three-year grant, awarded October 1, 2021 under the Computer and Information Science and Engineering program (CFDA #47.070), will advance the development of techniques for machines to make decisions and conduct queries when faced with uncertainty or incomplete data. The research is expected to help enable more robust artificial intelligence and machine learning capabilities that can operate effectively even when not provided perfect information. The University of North Carolina at Chapel Hill will serve as the primary awardee, conducting the research through its Office of Sponsored Research in Chapel Hill, North Carolina.
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