POSE: Phase 1: Jaseci: An Open Source Ecosystem for Rapid Artificial Intelligence (AI) at — NSF Award to Regents of the University
This Pathways to Enable Open-Source Ecosystems (POSE) project is centered on strengthening the nation’s competitiveness in artificial intelligence (AI) for development and economic growth. This project supports the growth of an open-source ecosystem around a novel AI development stack that dramatically simplifies and a
| Award title | POSE: Phase 1: Jaseci: An Open Source Ecosystem for Rapid Artificial Intelligence (AI) at |
|---|---|
| Award ID | 2449140 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $320,000 |
| Principal investigator | Jason Mars |
| Program | Special Projects, POSE |
| Start date | 08/01/2025 |
| Abstract | This Pathways to Enable Open-Source Ecosystems (POSE) project is centered on strengthening the nation’s competitiveness in artificial intelligence (AI) for development and economic growth. This project supports the growth of an open-source ecosystem around a novel AI development stack that dramatically simplifies and accelerates the creation of scalable AI applications, with the potential to speed up AI development by 10 times. By significantly reducing the technical complexity and developer exp |
| Source | NSF Awards |
$799/mo
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