Project Grant 2541848
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a five-year CAREER grant totaling $328,476 to the University of North Carolina at Chapel Hill beginning June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). This project supports the development of advanced computer vision and machine learning systems that can infer physical properties of objects from visual inputs,...
- Federal Project Grant Award Summary The University of Washington received a $348,442 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), effective June 1, 2026 through May 31, 2031. This CAREER award supports the development of open and efficient video-language models designed to advance artificial intelligence (AI) systems' ability to interpret nuanced...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $506,819 CAREER grant to the University of Virginia under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) for the five-year period from September 1, 2025, through August 31, 2030. This project delivers innovative evaluation methodologies for artificial intelligence (AI) agents by combining online and offline data approaches. The...
- Federal Project Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded Brown University a five-year Project Grant totaling $346,851 (awarded June 1, 2026, with completion anticipated May 31, 2031) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This CAREER award supports fundamental research to develop a scientific framework enabling artificial intelligence systems to learn directly from video...
- Federal Grant Award Summary The University of Virginia received a $538,798 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (Computer and Information Science and Engineering program, CFDA 47.070) effective October 1, 2026, through September 30, 2031. This CAREER award funds research and educational initiatives focused on developing "structure-aware weak supervision" methodologies that enable artificial intelligence (AI) systems to...
- Federal Project Grant Summary North Carolina State University received a $331,063 project grant awarded on July 15, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) from the National Science Foundation's Division of Information and Intelligent Systems. This CAREER award supports research to develop robust machine learning (ML) systems capable of operating reliably in dynamic, open-world environments. The project addresses critical vulnerabilities in...
- Federal Project Grant Award Summary The University of North Carolina at Chapel Hill received a $250,000 Project Grant from the National Science Foundation (NSF), Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award, effective August 1, 2025 through July 31, 2028, funds a mixed-methods research project investigating how college students in Science, Technology, Engineering, and Mathematics (STEM)...
- 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 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 National Science Foundation (NSF) Division of Computing and Communication Foundations awarded $341,598 to the University of Massachusetts Lowell under the Computer and Information Science and Engineering program (CFDA 47.070) on July 1, 2026, for a five-year CAREER project focused on neural language models. The project develops a linguistically grounded framework to improve the controllability, interpretability, and robustness of artificial intelligence...
The National Science Foundation's Division of Computing and Communication Foundations awarded a Project Grant of $343,839 to the University of North Carolina at Chapel Hill effective August 1, 2026, through July 31, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This CAREER award supports the development of a unified framework for video perception, reasoning, and control grounded in natural language supervision. The project will create next-generation artificial intelligence systems capable of understanding complex, multi-step activities in video by leveraging narrated instructional video to develop structured, multi-level video representations. The system will model actions as learnable transformations applied to object representations, enabling recognition of novel action combinations and improved reasoning about causes and consequences of observed events. Deliverables include development of AI methodologies applicable to robotics, healthcare, and manufacturing sectors where understanding dynamic visual scenes is essential. All software, trained models, and datasets produced will be released publicly to accelerate scientific progress and support responsible AI development. The award integrates substantial educational components, including development of new university courses, mentorship of undergraduate and high school students, and public outreach programs connecting artificial intelligence to accessible topics such as sports and skill learning. Performance will be conducted at the University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $343.8k | 4/19/26 |