IRES Track I:Collaborative Research:Application-Specific Asynchronous Deep Learning IC Des — NSF Award to University of Alabama Tu
This 3-year IRES Track I project recruits three cohorts of U.S. students to conduct research in China, with the major research goal as developing, fabricating, and testing an ultra-low power application-specific deep learning integrated circuit, and evaluating its performance through the integration with physical Inter
| Award title | IRES Track I:Collaborative Research:Application-Specific Asynchronous Deep Learning IC Des |
|---|---|
| Award ID | 2611766 |
| Awardee | University of Alabama Tuscaloosa |
| City | TUSCALOOSA |
| State | AL |
| Amount obligated | $37,578 |
| Principal investigator | Na Gong |
| Program | IRES Track I: IRES Sites (IS) |
| Start date | 10/01/2025 |
| Abstract | This 3-year IRES Track I project recruits three cohorts of U.S. students to conduct research in China, with the major research goal as developing, fabricating, and testing an ultra-low power application-specific deep learning integrated circuit, and evaluating its performance through the integration with physical Internet-of-Things (IoT) edge computing devices. It brings together three research groups with unique expertise from University of Arkansas (ultra-low power asynchronous circuit design) |
| Source | NSF Awards |
$799/mo
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