This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $122,648 in funding to Iowa State University over a 3-year period from May 1, 2024 to April 30, 2027. The project aims to deliver mathematical innovations that will improve the reliability and time resolution of machine learning algorithms for national security applications, such as rapid detection and classification of potential threats. Key objectives include developing theory and algorithms for transfer learning and neural networks, designing optimal line packings for sparse signals, and constructing highly symmetric subspace packings. The award does not include any planned sub-awards. This research is expected to further advance the fundamental mathematics underlying how machines sense and learn, with potential applications in areas like surveillance, data processing, and sensor design.
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