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The MFAI program funds interdisciplinary research collaborations among mathematicians, statisticians, computer scientists, engineers, and social scientists to establish the mathematical foundations of AI systems, including deep learning, foundation models, and generative models.
Goals include fundamental mathematical understanding of AI capabilities and limitations, mathematically grounded design and analysis principles, rigorous validation of ML algorithms, and provably reliable, trustworthy, and explainable AI. Full proposals due October 9, 2026.
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Or search similar grants →According to the current listing, eligibility includes: Eligible U.S. institutions per NSF 24-569 solicitation; interdisciplinary teams. Each PI/co-PI limited to one proposal per deadline. Confirm the full requirements in the official notice before applying.
The current listing shows individual awards $500,000 to $1,500,000 total; program budget up to $8.5 million per year subject to availability. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF Mathematical Foundations of Artificial Intelligence (MFAI) are due October 9, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF Mathematical Foundations of Artificial Intelligence (MFAI) is funded by U.S. 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.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
NSF 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.
Read articleNSF announced ELEGANT on September 17, 2026, an Other Transaction Agreement Solutions Offering to translate low-dimensional semiconductor technologies into manufacturable platforms. Five translation themes, one Ecosystem Coordinator, and a rule that says you cannot bid for both. Here is how to read the structure before the deadline is published.
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