This $557,460 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program Project Grant, awarded on October 1, 2025, supports the development of a new AI framework for real-time, scalable, and verifiable generative video editing. The key innovations include motion-adaptive cross-frame attention, pipelined frame scheduling for multi-GPU systems, formal verification of semantic consistency, and system-level validation on real hardware. These advancements aim to address challenges with latency, frame consistency, and hardware efficiency that have limited the broader application of generative AI systems in fields such as research, education, and healthcare. The project will be executed by the University of Texas at Austin and is expected to be completed by September 30, 2028. The goal is to advance the state of the art in generative visual AI systems and make them more efficient and accessible to a variety of users, thereby supporting national interests in economic competitiveness, education, and public welfare.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $557.5k | 7/11/25 |