Project Grant 2541049
- Federal Project Grant Award Summary The University of Washington received a $345,822 Project Grant from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective April 1, 2026 through March 31, 2031. This CAREER award supports research investigating neural population mechanisms of learning in the primary motor cortex, with deliverables centered on understanding how neurons coordinate their activity during motor skill acquisition....
- Federal Project Grant Award Summary The University of Washington received a $370,692 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, effective June 15, 2025, through May 31, 2030. This project addresses the critical challenge of Large Language Model (LLM)-generated content in online information ecosystems by developing an epistemological framework to...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $343,839 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) effective August 1, 2026, with a completion date of July 31, 2031. This CAREER award supports the development of a unified framework for video perception, reasoning, and control grounded in natural language supervision....
- Federal Project Grant Award Summary Washington State University received a $326,994 CAREER grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) awarded June 1, 2026, with completion targeted for May 31, 2031. This project grant funds research on flow-based reconfiguration methods for next-generation foundation models—large artificial intelligence systems designed to improve the reliability and trustworthiness of AI outputs in...
- The University of Washington was awarded a $549,843 National Science Foundation Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) for the project "CAREER: KNOWLEDGE-RICH NEURAL TEXT COMPREHENSION AND REASONING" from September 1, 2021 to August 31, 2026. This Project Grant will support the development of new natural language processing techniques focused on enabling computers to comprehend and reason about text at a deeper level through the...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded Virginia Polytechnic Institute & State University (Virginia Tech) a CAREER grant of $325,054 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop controllable video synthesis technology. The five-year project, initiated August 1, 2026 and concluding July 31, 2031, will produce a new paradigm for generative...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a five-year CAREER grant totaling $417,565 to The Washington University (award date: October 1, 2026; completion date: September 30, 2031) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project develops an adaptive knowledge synthesis framework that enables Large Language Models (LLMs) to formulate structured reasoning...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded a CAREER Project Grant of $341,618 to the University of California, Berkeley (UC Berkeley) on June 15, 2025, for foundational research in 4D human video understanding. The research will develop a scalable, transformer-based computational framework capable of analyzing both third-person (exocentric) and first-person (egocentric) video to capture the four-dimensional state of...
- Federal Project Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded the University of Washington a $559,520 project grant, effective September 15, 2026 through August 31, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This CAREER (Faculty Early Career Development Program) award funds fundamental research and educational initiatives in quantum computational complexity theory. The primary...
- Federal Grant Award Summary The University of Arkansas, Fayetteville received a $499,556 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025 through August 31, 2030. This CAREER award supports the development of a trustworthy, robust, and efficient multimodal framework for video analytics centered on three core research...
Federal Project Grant Award Summary The University of Washington received a $348,442 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. This CAREER award funds the development of open and efficient video-language models designed to advance artificial intelligence systems' ability to understand fine-grained actions and dynamics in video content. The research addresses critical limitations in current AI systems' capacity to interpret nuanced motions, track objects over time, and process long or multiple videos efficiently—capabilities essential for real-world applications in education, healthcare, robotics, and assistive technologies. The project delivers three core research innovations: trajectory-based video tokenization methods that represent videos using motion and object-centric units while reducing redundancy, flexible encoder architectures capable of processing multiple videos at varying resolutions, and open-source tools and resources accessible to researchers, educators, and developers. By advancing video-language understanding capabilities, the award aims to promote scientific and engineering progress, enhance workforce development through improved training technologies, increase accessibility for users with disabilities, and broaden participation in artificial intelligence research through publicly available resources and models.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $348.4k | 5/25/26 |