CSR: Small: Agile, Fine-Grained, General Function Serving for Dynamic Real-Time Deployment — NSF Award to Georgia Tech Research Co
This project aims to develop software systems for robust and efficient support of interactive Artificial Intelligence-enabled services. An increasing number of applications rely on pre-trained Machine Learning models for their operation, such as computer vision tasks, natural language processing, and recommendation sys
| Award title | CSR: Small: Agile, Fine-Grained, General Function Serving for Dynamic Real-Time Deployment |
|---|---|
| Award ID | 2420977 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $600,000 |
| Principal investigator | Alexey Tumanov |
| Program | CSR-Computer Systems Research |
| Start date | 10/01/2024 |
| Abstract | This project aims to develop software systems for robust and efficient support of interactive Artificial Intelligence-enabled services. An increasing number of applications rely on pre-trained Machine Learning models for their operation, such as computer vision tasks, natural language processing, and recommendation systems. Cyber-physical systems (e.g., autonomous navigation) also operate in a tight control loop of sensing the environment, perception, and performing corresponding actions.These a |
| Source | NSF Awards |
$799/mo
Try NSFGrants →