CAREER: Learning to See, Reason, and Act: Language-Grounded Video Intelligence for Percept — NSF Award to University of North Caro
Modern artificial intelligence (AI) systems can recognize simple actions in short video clips, yet they cannot understand the full complexity of events unfolding over time. They struggle to follow multi-step activities, explain why something happened, imagine what would happen under different circumstances, or use what
| Award title | CAREER: Learning to See, Reason, and Act: Language-Grounded Video Intelligence for Percept |
|---|---|
| Award ID | 2541848 |
| Awardee | University of North Carolina at Chapel Hill |
| City | CHAPEL HILL |
| State | NC |
| Amount obligated | $343,839 |
| Principal investigator | Gediminas Bertasius |
| Program | Robust Intelligence |
| Start date | 08/01/2026 |
| Abstract | Modern artificial intelligence (AI) systems can recognize simple actions in short video clips, yet they cannot understand the full complexity of events unfolding over time. They struggle to follow multi-step activities, explain why something happened, imagine what would happen under different circumstances, or use what they observe to guide physical actions. These limitations prevent AI from having a transformative impact in areas of national importance such as robotics, healthcare, and manufact |
| Source | NSF Awards |
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