Project Grant 2544032
- Federal Grant Award Summary Brown University received a $300,000 Project Grant award dated August 15, 2025, from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships program (CFDA 47.084) to support Phase I activities for establishing an open-source ecosystem for rapid system-on-chip (SoC) design and programming. The award, with a completion date of July 31, 2026, will fund a comprehensive needs assessment of the open-source hardware design community through...
- Federal Grant Award Summary Award Overview: Brown University received a $477,651 Project Grant 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 October 1, 2025, through September 30, 2028. The award supports fundamental research in machine learning and three-dimensional (3D) asset generation. Research Deliverables: The project develops a novel class of...
- Federal Project Grant Award Summary Brown University received a $186,617 project grant award, effective July 1, 2025, through May 31, 2029, 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). The project, titled "CAREER: SMARTCAD: Shaping the Next Revolution in Computer-Aided Design," will develop AI-enhanced computer-aided design (CAD) tools that combine...
- Federal Project Grant Award Summary Brown University received a $600,000 project grant from the National Science Foundation (NSF), Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering (CFDA 47.070) program. The award, effective July 1, 2025, through June 30, 2028, supports research on efficient multi-task learning frameworks designed to enable advanced machine learning (ML) capabilities on resource-constrained augmented reality (AR)...
- Federal Project Grant Award Summary Brown University received a $364,562 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program, with an award date of June 15, 2025, and completion date of May 31, 2028. This Research Experiences for Undergraduates (REU) Site award supports the delivery of an interdisciplinary research and education program in artificial...
- Federal Grant Award Summary Brown University received a $600,000 CAREER award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025, through July 31, 2030. The award supports the development of novel computational methods and machine learning frameworks designed to integrate heterogeneous health data sources—including medical records, imaging,...
- Federal Project Grant Award Summary Brown University received a $700,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective September 1, 2025, through August 31, 2028. The award funds development of an automated reasoning system for hyperbolic geometry that extends artificial intelligence (AI) and automated theorem-proving capabilities beyond their current effective applications...
- Federal Grant Award Summary Brown University received a $102,758 CAREER Project Grant from the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049) effective December 1, 2025, through August 31, 2029. The award supports fundamental research in arithmetic dynamical systems on projective varieties, a field that synthesizes techniques from number theory and dynamical systems to address problems in arithmetic geometry. Key...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Rhode Island a Project Grant of $341,343 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports the development of tools and methodologies to help data scientists anticipate and prevent unintended systemic errors in machine learning...
- Federal Project Grant Award Summary Brown University received a $320,881 Project Grant awarded August 15, 2025, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), administered by the National Science Foundation's Division of Computer and Network Systems. The LANDS (Learning-Based Adaptive Networked Systems for Delivery of Short Videos) project addresses the unique technical and operational challenges of short-form video delivery systems, which serve billions...
Brown University received a $477,430 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070), awarded June 1, 2026, with completion targeted for May 31, 2031. This CAREER award funds the development of a unified, high-level synthesis and programming framework designed to simplify the design and integration of heterogeneous computing systems. The project will produce an extensible multi-level intermediate representation infrastructure supporting compilation across diverse hardware backends, including field-programmable gate arrays, graphics processing units, tensor accelerators, and processing-in-memory systems. Key deliverables include verification-driven system integration capabilities enhanced through artificial intelligence-assisted transformation tools, alongside open-source software tools, datasets, and benchmarks for the research community. In addition to technical research outputs, the award supports workforce development through creation of new curricular materials, undergraduate mentorship programs, and graduate training initiatives. The project will disseminate findings via workshops, tutorials, demonstrations, and community-shared tools, with the objective of enabling domain experts to design advanced computing systems more efficiently for real-world applications in autonomous systems, intelligent agents, and healthcare technologies. The research addresses the growing computational complexity gap in modern data-intensive and autonomous applications by providing accessible frameworks that reduce design errors and implementation timelines for heterogeneous system integration.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $477.4k | 3/30/26 |