This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI training dramatically faster and more energy-efficient compared to currently available processors. The project, led by the University of Rhode Island, will undertake conceptualization, feasibility studies, team formation, infrastructure assessment, and proposal development during the planning phase. By addressing the major bottlenecks in current machine learning training methods, Co-FABPRO aims to deliver faster, more efficient training processes and disseminate the findings through open-source releases and educational initiatives.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $200.0k | 8/30/24 |