The University of Texas at Austin will perform work related to autonomous threat detection using supervised machine learning under a $100,000 Block Grant award from the Department of the Air Force Materiel Command Research Laboratory. The award is part of the Air Force Defense Research Sciences Program (CFDA 12.800), which supports research to maintain U.S. technological superiority in scientific areas relevant to Air Force needs and prevent technological surprise from adversaries. Work will be conducted from September 2021 through April 2023 in accordance with the statement of work to develop autonomous threat detection capabilities using supervised machine learning techniques. As the recipient of the award, the University of Texas at Austin will leverage its expertise in machine learning and artificial intelligence to further the program's goals of bolstering Air Force research capabilities.
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