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FAIR Data and Models for Artificial Intelligence and Machine Learning is sponsored by Department of Energy (DOE) - Office of Science. This funding opportunity supports making research data and artificial intelligence (AI) models findable, accessible, interoperable, and reusable (FAIR) to facilitate the development of new AI applications in scientific computing.
AI is inclusive of machine learning, deep learning, neural networks, computer vision, and natural language processing. The focus is on FAIR benchmark data for AI and FAIR frameworks for relating data and AI models.
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Search similar grants →Based on current listing details, eligibility includes: All types of applicants are eligible, except Federally Funded Research and Development Center (FFRDC) Contractors and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice (part of over $320 million in AI investments for scientific research) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Past winners and funding trends for this program
FY 2026 Continuation of Solicitation for the Office of Science Financial Assistance Program is sponsored by Department of Energy (DOE) - Office of Science. The DOE Office of Science is continuously interested in receiving applications for support of work in various program areas, including Advanced Scientific Computing Research, Basic Energy Sciences, Fusion Energy Sciences, and Nuclear Physics.
The Mathematical Foundations of Artificial Intelligence is a grant from the U.S. Department of Energy (DOE) Office of Science and the National Science Foundation (NSF) that funds fundamental research in mathematics, statistics, and computer science to advance the theoretical underpinnings of AI and machine learning. The program targets scientists and researchers in mathematics, engineering, and computer science across the social, behavioral, economic, and physical sciences (Assistance Listings 47.075, 47.049, 47.070). Award amounts vary by project. Research areas include machine learning theory, neural network analysis, algorithmic optimization, and AI methods enabling breakthroughs in protein folding, natural language processing, drug synthesis, and other scientific domains. The last updated date on Grants.gov was October 19, 2025.
Academic Grant Program is sponsored by NVIDIA. NVIDIA's Academic Grant Program seeks proposals from full-time faculty members at accredited academic institutions using NVIDIA technology to advance work in Simulation and Modeling, Data Science, and Robotics and Edge AI. Proposals for the NVIDIA Graduate Fellowship Program are also invited, focusing on AI, robotics, and autonomous vehicles.
America's Seed Fund (SBIR/STTR) - Cybersecurity and Authentication is sponsored by U.S. National Science Foundation (NSF). Supports startups and small businesses to translate research into products and services, including cybersecurity and authentication, to secure national defense and protect the public. Includes research requiring privacy and security-preserving resources for artificial intelligence.