Orbital and surface exploration missions to Mars are returning increasing volumes of complex scientific data. Identifying what is new, interesting, or changing on the surface is important to scientists who use these data to test hypotheses, guide rover activities, and make new discoveries. Artificial intelligence (AI) can play a critical role in rapidly and intelligently extracting this information from data collected at Mars. In this talk, presenter Hannah Kerner will discuss some of the ways AI is being used to enhance our understanding of Mars and increase the scientific return from space exploration missions.Hannah Kerner is a PhD candidate at Arizona State University doing research at the intersection of machine learning and space exploration. She has worked at NASA's Jet Propulsion Laboratory, Goddard Space Flight Center, and Langley Research Center, as well as at Planet, Inc., a San Francisco-based remote sensing company operating the world's largest constellation of cubesats. She earned her B.S. in computer science at the University of North Carolina at Chapel Hill. She loves to read in her spare time and is a dedicated patron of public libraries.
Event Type(s): Adult Education