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Artificial Intelligence and Fundamental Interactions is a grant program from the National Science Foundation (NSF) that funds foundational and applied AI research across universities and research institutions.
With investments of over $700 million annually, NSF supports AI breakthroughs spanning healthcare, education, food production, and supply chains, as well as research into the economic and societal implications of widespread AI adoption. The program also funds AI research infrastructure, workforce development initiatives, educational tools, and curricula to build an AI-ready workforce. Awards range from $200,000 to $1,500,000.
Eligible applicants include universities and research institutions. NSF additionally partners with federal agencies, industry, and nonprofits to accelerate AI translation from research to real-world impact.
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Artificial Intelligence | NSF - U.S. National Science Foundation View image credit & caption Share on X (formerly known as Twitter) The U.S. National Science Foundation has invested in artificial intelligence research since the early 1960s, setting the technical and conceptual foundations driving today's AI innovations.
AI-driven discoveries and technologies are transforming Americans' daily lives and promising practical solutions to global challenges, from food production and supply chains to healthcare and education.
As a major federal funder of AI research, NSF is making investments that will catalyze new discoveries, translate this knowledge into the hands of the American enterprise and build the workforce needed to drive U.S. global leadership and economic competitiveness. What is the future of AI? In this eight-minute video, learn about AI and its potential applications.
With investments of over $700 million each year, NSF is: Fostering the next generation of breakthroughs We invest in fundamental AI research, accelerate AI-powered discovery across all fields of science and engineering and deepen the understanding of economic and societal implications of widespread AI adoption.
Translating AI research to impact We expand pathways to transition AI innovations into practice and power regional innovation and economic development. Empowering AI innovation through research infrastructure We provide the research community with access to integrated computational, data and software resources with hands-on support and training. Learn about the National Artificial Intelligence Research Resource Pilot .
Building a world-class workforce for the AI era We invest in the creation of educational tools, materials, curricula, scholarships and fellowships to enhance learning and create an AI-ready workforce. Learn more about AI workforce development .
Forging partnerships to accelerate progress We partner with other federal agencies, industry and nonprofits to leverage expertise; identify use cases; and improve access to data, tools and other resources.
Computer and Information Science and Engineering: Core Programs Supports foundational and use-inspired research in AI, data science and human-computer interaction — including human language technologies, computer vision, human-AI interaction, and theory of machine learning.
America's Seed Fund (SBIR/STTR) Supports startups and small businesses to translate research into products and services, including AI systems and AI-based hardware , for the public good.
Cyber-Physical System Foundations and Connected Communities Supports foundational and community-driven research that integrates computation, physical systems and human interaction to create reliable, resilient cyber-physical systems that enhance quality of life and community well-being.
Foundations for Operating the National Artificial Intelligence Research Resource: the NAIRR Operations Center Will establish a community-based organization coordinate activities in support of an integrated national infrastructure for AI research and education.
Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation Supports interdisciplinary research projects that explore the mathematical and engineering foundations behind the development and use of digital twins in biomedical and healthcare applications.
Advancing Research at the Intersection of Biology and Artificial Intelligence (AI)/Machine Learning (ML) Encourages proposals that advance biological research through use of Artificial Intelligence/Machine Learning (AI/ML) or through development of AI/ML methods using biological data and systems.
Artificial Intelligence, Formal Methods and Mathematical Reasoning Supports research at the interface of innovative computational and AI technologies and new strategies/technologies in mathematical reasoning to guide and enhance research in the mathematical sciences, formal methods and AI.
Expanding K-12 Resources for AI Education DCL Invites supplemental funding requests to current NSF awardees in certain NSF directorates to support the expansion of K-12 resources for AI education.
Expanding AI Career and Skilled Technical Workforce Opportunities in Support of High School Students DCL Invites supplemental funding requests from current ExLENT and ATE awardees for education-industry collaboration supporting AI-focused career and skill building learning opportunities for high school students.
Integrated Data Systems & Services Supports national-scale data infrastructure that powers open, data-intensive and AI-driven research and education by funding the development, expansion and planning of integrated systems and services for the scientific community.
Mathematical Foundations of Artificial Intelligence Supports research collaborations between mathematicians, statisticians, computer scientists, engineers and social behavior scientists to establish innovative and principled design and analysis approaches for AI technology.
Smart Health and Biomedical Research in the Era of Artificial Intelligence Supports the development of new methods that intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems.
Explore more funding in AI Digital twins: Virtual models with real-world impacts NSF launches $100M National Quantum and Nanotechnology Research Infrastructure program NSF in 2025: Keeping U.S. scientific research and innovation on the cutting edge NSF's decades of sustained investments have ensured the continual advancement of AI research.
Pioneering work supported by NSF includes: Which improves the conversational ability of chatbots and trains self-driving cars, among other uses. Which enable computer understanding of human speech and the analysis of visual scenes. Which has led to the development of virtual teachers (both digital and robotic) that incorporate speech, gesture, gaze and facial expression.
Which power generative AI systems like ChatGPT. Which fuels content recommendation on the world's largest marketplaces and content platforms, from Amazon to Netflix. Which facilitated the development of AlphaFold2, an AI tool that predicts protein shapes — accelerating medical breakthroughs and leading to a Nobel Prize for its inventors.
How NSF helped build the foundations of AI Expanding the Frontiers of AI: Fact Sheet Learn how NSF is driving cutting-edge research on AI. AI Impacts from Investments: Fact Sheet An overview of NSF's history of investments in artificial intelligence and how those investments fueled the innovative technologies we use today.
Implementation Plan for a National Artificial Intelligence Research Resource This final report of the NAIRR Task Force presents a roadmap and implementation plan for a national cyberinfrastructure. Explore opportunities for researchers, educators and students, including AI-ready datasets, pre-trained models and other NAIRR pilot resources.
National Artificial Intelligence Initiative A coordinated federal approach to accelerate AI research and the integration of AI systems across all sectors of the economy and society. Allows the research and education community to access cloud computing platforms. One Hundred Year Study on Artificial Intelligence A study focused on understanding and anticipating how AI will ripple through every aspect of how people work, live and play.
According to the current listing, eligibility includes: Universities, research institutions. Confirm the full requirements in the official notice before applying.
The current listing shows $200,000 - $1,500,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Artificial Intelligence and Fundamental Interactions is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The UKRI Policy Fellowships 2025, funded by the Economic and Social Research Council, offer 18-month placements for academics to co-design research with UK government and What Works Network host organizations. Awards range from £180,000 to £280,000 and support three fellowship tracks: core policy fellows, Natural Hazards and Resilience policy fellows, and What Works Innovation fellows. Applicants must hold a PhD or equivalent research experience, be based at a UKRI-eligible UK organization, and possess relevant subject matter or methodological expertise. Government-hosted positions target early to mid-career academics, while What Works fellowships welcome all career stages. Fellows work directly with policymakers to bridge academic research and policy development on pressing national and global challenges. The application deadline is July 15, 2025.
The Smart Data Research UK Fellowships provide up to £200,000 per project for researchers using smart data to address real-world challenges across the United Kingdom. Funded by UKRI through Smart Data Research UK, this program supports up to ten projects lasting 18 months, with start dates by February 2026. Applicants must be based at eligible UK organizations and demonstrate strong data skills with a compelling research question aligned to one of four SDR UK themes: productivity and prosperity, health and wellbeing, sustainability, or communities and places. Researchers at all career stages may apply, with early career researchers particularly encouraged. Projects may use smart datasets from SDR UK's six national data services or combine smart data with administrative and survey data sources.
NSF's TechAccess: AI-Ready America commits up to $224 million to build one AI-readiness coordination hub in every state, DC, and U.S. territory. Round 1 closed July 16, 2026 — but Rounds 2 and 3 are still open, and most states are still up for grabs. Here is how the hub structure works, who is eligible, why cost sharing is banned, and how to position an institution to own its state's hub.
Read articleNSF just put $83 million into six national-scale data systems through its Integrated Data Systems and Services program — the plumbing that makes AI-for-science actually work. Here is who won, how the three-category structure (national-scale, transition, planning) really functions, why the Category III planning grant is the on-ramp most teams should be aiming at, and how to build readiness before the next fourth-Tuesday-in-July deadline.
Read articleNSF's new AI Datasets solicitation puts up to $100 million behind a specific bet: that the bottleneck in AI-for-science is not models but data. Here is how the three award tiers work — Flagship up to $5M, Impact up to $2M, Planning up to $200K — who is eligible, why voluntary cost sharing is banned, and how to build a proposal that survives review before the November 4, 2026 deadline.
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