This Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research to advance artificial intelligence (AI) and optimization through the study of partial differential equations (PDEs) on Wasserstein space. The award recipient, the Regents of the University of Michigan, will conduct theoretical analysis of master equations and particle systems to address key challenges in AI, including derivative-free optimization, stochastic filtering, and adversarial decision-making. The research aims to enhance the efficiency and robustness of AI systems, which have applications in healthcare, technology, and economic competitiveness. Additionally, the project will provide mentoring for graduate students and postdoctoral researchers, contributing to the development of a skilled STEM workforce. The award period runs from September 1, 2025, to August 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 7/10/25 |