Project Grant 2423106

The $100,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to study machine learning (ML)-augmented algorithms that can operate effectively using weak and sparse predictions. The University of California, Merced is the awardee and will investigate the design considerations and tradeoffs of such ML-augmented algorithms, particularly in scenarios where abundant, accurate training data is challenging to obtain. The project aims to advance the understanding and applicability of ML-augmented algorithms in real-world, resource-constrained systems. Additionally, the project will engage community college students to prepare them for educational paths in this rapidly expanding field. The award period runs from Sep 1, 2024 to Aug 31, 2026.