Project Grant 2541173
- 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 Washington received a $345,822 CAREER (Faculty Early Career Development) award from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CFDA 47.070) program, effective April 1, 2026 through March 31, 2031. This project delivers fundamental neuroscience research combined with computational modeling and machine learning methods to elucidate how...
- Federal Project Grant Award Summary Washington State University received a $326,994 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) CAREER award effective June 1, 2026, through May 31, 2031. The project delivers foundational research and methodologies for enhancing the reliability and adaptability of large artificial intelligence (AI) foundation models. The core deliverable is a novel flow-based framework that reshapes how these models transmit...
- Federal Project Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded a CAREER grant of $308,232 to the University of Oregon on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The project, titled "PROTRAIN: Enabling Efficient Large Language Model Training via Performance, Energy, and Reliability Co-Optimizations," will deliver a unified research and development framework...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded a collaborative project grant of $360,000 to the University of Washington (along with collaborating investigators from the Massachusetts Institute of Technology) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award was obligated on August 1, 2025, with a project completion date of July 31, 2028. This research initiative...
- Federal Project Grant Award Summary The University of Washington received a $1.0 million Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), awarded on September 1, 2025, for a four-year research initiative concluding August 31, 2029. The award funds the development and validation of MemWise, an intelligent tiered memory management system designed to enhance data...
- Federal Project Grant Award Summary The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded a CAREER grant totaling $348,442 to the University of Washington (awarded June 1, 2026, with completion expected May 31, 2031) under the Computer and Information Science and Engineering program (CFDA 47.070). This project develops open and efficient video-language models designed to advance artificial intelligence systems' ability to interpret fine-grained...
- Federal Project Grant Award Summary The University of Washington received a $150,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences program) effective September 1, 2025, through August 31, 2028. This collaborative research initiative, titled "Mathematical Frontiers of Generative AI," delivers theoretical research and mathematical analysis aimed at characterizing the fundamental principles...
- Federal Project Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded the University of Washington a $500,000 Project Grant effective October 1, 2025, through September 30, 2028, under the Computer and Information Science and Engineering program (CFDA 47.070). The primary deliverable is the development of an online learning platform designed to help university students master complex data visualization tools, with an initial focus...
- Federal Project Grant Summary The University of Washington received a $355,999 Project Grant award from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) on July 15, 2025, to support collaborative research on the PANTHER system through June 30, 2027. This research initiative develops a novel highly parallel hardware and software system designed to enable efficient large-scale graph-based data analytics for artificial intelligence (AI)...
Federal Project Grant Award Summary The University of Washington received a $517,223 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant awarded July 15, 2026, with completion targeted for June 30, 2031. This CAREER award funds development of a distributed tensor runtime system designed to optimize the execution of large-scale machine learning (ML) models across multiple specialized computing accelerators. The project addresses critical inefficiencies in coordinating computation distribution and data movement across distributed systems through two integrated research thrusts: (1) creation of a general-purpose execution engine for accelerators that consolidates task scheduling, communication optimization, and memory management functions, and (2) design of a flexible programming model enabling diverse parallel execution strategies through just-in-time compilation and profile-guided optimization techniques. The deliverables include open-source software infrastructure that enables single-runtime support for diverse ML workloads at scale, accompanied by educational materials and tutorials to facilitate broad adoption across research and industry communities. The system is engineered to maintain high performance while adapting to dynamic conditions such as variable workloads and hardware failures, thereby advancing accessibility and usability of large-scale artificial intelligence systems. This project directly supports NSF's mission to fund investigator-initiated research in computing and information science, with particular emphasis on cyberinfrastructure development and artificial intelligence applications.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $517.2k | 7/10/26 |