This $108,647 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, will fund research to develop a novel algorithmic framework based on Hamiltonian dynamics. The project aims to leverage conservation principles in physics and mathematics to design more efficient and adaptable optimization, sampling, and game theory algorithms for modern artificial intelligence and machine learning systems. The research will explore the "LCP scheme" (Lift, Conserve, and Project) to analyze and create new algorithms in these computational domains. It will also advance educational curricula and provide training opportunities for students. The award period is from August 1, 2024 to July 31, 2028, and the lead institution is Yale University, a private research university in Hamden, Connecticut.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $108.6k | 7/26/24 |