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Find similar grantsNational AI Initiative Act of 2020 is sponsored by National Science Foundation (NSF). Supports AI research and education initiatives across federal agencies.
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The Biden administration launches the National Artificial Intelligence Research Resource Task Force | NSF - U.S. National Science Foundation In an effort to keep NSF. gov current, the archive contains outdated information that may not reflect current policy or programs.
The Biden administration launches the National Artificial Intelligence Research Resource Task Force The U.S. National Science Foundation and the White House Office of Science and Technology Policy today announced the formation of the National Artificial Intelligence Research Resource Task Force.
As directed by Congress in the "National AI Initiative Act of 2020," the task force will serve as a federal advisory committee, developing an implementation roadmap for the National AI Research Resource, a shared research infrastructure providing AI researchers and students across all scientific disciplines with access to computational resources, high-quality data, educational tools and user support.
The task force will provide recommendations for establishing and sustaining the National AI Research Resource, including technical capabilities, governance, administration, assessment and requirements for security, privacy, civil rights and civil liberties. It will also submit two reports to Congress that will comprise a comprehensive roadmap and implementation plan.
The task force will deliver an interim report in May 2022 and a final report in November 2022. “America’s economic prosperity hinges on foundational investments in our technological leadership,” said Science Advisor to the President and OSTP Director Eric Lander.
“The National AI Research Resource will expand access to the resources and tools that fuel AI research and development, opening opportunities for bright minds from across America to pursue the next breakthroughs in science and technology.
” “NSF is delighted to co-chair the National AI Research Resource Task Force, which has the essential role of envisioning the research infrastructure that will drive future innovations in AI,” said NSF Director Sethuraman Panchanathan.
“By bringing together the nation’s foremost experts from academia, industry, and government, we will be able to chart an exciting and compelling path forward, ensuring long-term U.S. competitiveness in all fields of science and engineering and all sectors of our economy.
” The following technical experts, representing government, higher education and private organizations, will serve on the task force: Erwin Gianchandani, NSF (Co-Chair) Lynne Parker, OSTP (Co-Chair) Daniela Braga, DefinedCrowd Mark Dean, retired (formerly IBM and University of Tennessee, Knoxville) Oren Etzioni, Allen Institute for AI Julia Lane, New York University Fei Fei Li, Stanford University Michael Norman, University of California, San Diego Dan Stanzione, The University of Texas at Austin Frederick Streitz, Department of Energy Elham Tabassi, National Institute of Standards and Technology Public input on the vision for and implementation of NAIRR will be sought, including through a forthcoming request for information to be posted to the Federal Register.
For more information about the National AI Initiative and NAIRR, please visit AI. gov .
According to the current listing, eligibility includes: Universities, nonprofit research organizations, and consortia thereof. Confirm the full requirements in the official notice before applying.
National AI Initiative Act of 2020 is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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