The National Science Foundation (NSF) has awarded a $100,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, San Diego (UCSD). The grant, effective August 1, 2024 through July 31, 2028, will fund the development of a novel algorithmic framework based on Hamiltonian dynamics. This framework, termed the "LCP scheme" (Lift, Conserve, and Project), aims to leverage principles of conservation and least action to improve the performance of optimization, random sampling, and game theory algorithms in modern artificial intelligence and machine learning systems. The project seeks to advance the computational and statistical foundations of these algorithms, with potential to revolutionize how large-scale ML systems are trained. Key outcomes will include new curricula for algorithms courses, open-source software, and joint research workshops. No sub-awards are planned under this grant.
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