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The Simons Foundation Targeted Grants in Mathematics and Physical Sciences (MPS) support high-risk projects of exceptional promise and scientific importance on a case-by-case basis, with typical grants providing funding for up to five years. The program area explicitly includes Mathematics of Deep Learning, making it directly relevant to theoretical AI research.
The MPS division funds theoretical mathematics, theoretical physics, and theoretical computer science, with the Mathematics of Deep Learning track supporting research into the mathematical foundations underlying modern AI systems including optimization theory, generalization bounds, neural network expressivity, and statistical learning theory.
This is one of the few major foundation programs specifically funding the mathematical underpinnings of AI and deep learning. The Simons Foundation, endowed by Jim Simons (founder of Renaissance Technologies), is one of the largest private funders of basic science research. Applications are reviewed on a rolling basis with a deadline of July 1, 2026 for the current cycle.
The foundation values novel mathematical approaches that could fundamentally advance our understanding of how and why deep learning works.
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Or search similar grants →According to the current listing, eligibility includes: Researchers at universities and research institutions worldwide. Principal investigators must have a track record of significant research contributions. Projects must focus on theoretical mathematics, physics, or computer science with clear scientific merit. The foundation does not fund applied product development. Confirm the full requirements in the official notice before applying.
The current listing shows multi-year grants with funding for up to five years. Award amounts vary by project scope. Typical grants provide $100,000 to $500,000 per year for multi-year research programs. Total awards can reach $1,000,000 to $2,500,000 over the grant period. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 1, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Simons Foundation Targeted Grants in Mathematics and Physical Sciences for AI and Deep Learning Theory is funded by Simons Foundation. 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.
Simons Dissertation Fellowship in Mathematics is sponsored by Simons Foundation Inc.. This program provides research support to excellent graduate students in the final years of their Ph.D. studies in the United States. It honors the late founder Jim Simons and his commitment to supporting the field of mathematics. Geographic focus: United States Focus areas: Mathematics, Physical Sciences
The Simons Foundation's Mathematics and Physical Sciences (MPS) division invites letters of intent for its Targeted Grants program, which supports high-risk theoretical mathematics, physics, and computer science research projects of exceptional promise and scientific importance. The foundation has been a major funder of deep learning theory research, having co-funded the Collaboration on the Theoretical Foundations of Deep Learning — a team of eleven research leaders from eight institutions worldwide addressing theoretical challenges of deep learning, extending its applicability, and developing new methods. Current priority areas include the mathematics of deep learning, generative AI theory, diffusion models, protein engineering applications of ML, and foundational machine learning research. The Simons Foundation distributes approximately $291 million in annual grants and is distinct from the Heising-Simons Foundation. This program targets fundamental theoretical advances rather than applied AI development.
Targeted Grants in Mathematics and Physical Sciences for AI and Deep Learning Theory is a grant from the Simons Foundation that funds high-risk theoretical research in mathematics, physics, and computer science, with a specific focus on AI and deep learning theory. The program supports projects of exceptional promise and scientific importance on a case-by-case basis. Funding ranges from $100,000 to $500,000 per year for up to five years, with a maximum of $2,500,000 over the award period. Eligible applicants are tenured or tenure-track faculty at universities and research institutions worldwide, excluding institutions in China or Hong Kong. Applications begin with a rolling Letter of Intent deadline; full proposals are invited by LOI decision notification.
Healthy School Awards Program is sponsored by Blue Cross & Blue Shield Of Mississippi Foundation. Recognizes and rewards public K-12 schools in Mississippi that encourage healthy lifestyle behaviors and implement exemplary school health and wellness initiatives. Awards are given in categories based on school enrollment size, with one school designated as the Healthiest School in Mississippi. Geographic focus: Mississippi Focus areas: Healthy Eating, Physical Activity, Staff Wellness, Tobacco-Free Lifestyles
The Community Grants (New York and Pennsylvania Regions) program is a grant from the William G. McGowan Charitable Fund that supports nonprofits working in Monroe or Yates County, New York, or Lackawanna or Luzerne County, Pennsylvania. Grants average approximately $28,000 and can range from small amounts to six-figure commitments for program or operations support. Eligible applicants are 501(c)(3) organizations whose work addresses the foundation's goals. First-time applicants must submit a Letter of Inquiry (LOI) before applying. The April 2026 application deadline has passed; inquiries are also accepted on a rolling basis for future cycles.