The National Science Foundation Division of Mathematical Sciences awarded a $650,000 Project Grant to the University of Texas at Austin to support the CRCNS RESEARCH PROJECT: MULTIPLY AND CONQUER: REPLICA-MEAN-FIELD LIMIT FOR NEURAL NETWORKS from September 15, 2021 through August 31, 2024.
This award will fund research under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these fields and strengthen the nation's scientific enterprise. Specifically, the University of Texas at Austin will conduct research on developing new mathematical techniques to analyze the behavior of neural networks with a large number of interacting units. Insights from this work could enhance understanding of machine learning and artificial intelligence. The three-year period of performance and funding amount of $650,000 will allow for meaningful research efforts to be carried out under this Project Grant.
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