The University of Utah was awarded a $499,384 project grant from the National Science Foundation to support research titled "AF: SMALL: THE GEOMETRY OF LEARNING ON STRUCTURED DATA OBJECTS" from October 1, 2021 to September 30, 2024. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information science and engineering.
Through this funding, the University of Utah will conduct research exploring the geometry of machine learning techniques applied to structured data objects. The three-year project aims to advance the development of learning algorithms that can incorporate the inherent structure of complex data. The grant will support the principal investigators' work analyzing how incorporating structural information can improve model performance and interpretability. Results from the research have the potential to contribute to more effective and transparent applications of artificial intelligence.
Generated 1/6/24, 10:50 PM