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Find similar grantsArtificial Intelligence Research Initiatives is sponsored by NSF - U.S. National Science Foundation. Provides funding for research in artificial intelligence, including large language models and generative AI.
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Artificial Intelligence | NSF - U.S. National Science Foundation View image credit & caption 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.
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.
The NSF TechAccess: AI-Ready America (NSF AI-Ready America) initiative is a nationwide effort to boost artificial intelligence readiness in every U.S. state and territory. NSF AI-Ready America envisions a future where every individual, community and business in the U.S. thrives in an AI-driven economy.
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.
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.
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.
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.
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.
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.
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.
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.
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 NSF-supported teams advanced through the Presidential AI Challenge, with North Carolina teacher named national champion Podcast: AI-driven tool targets hearing loss Podcast: Onboard autonomous IndyCar racing (part 2) 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.
Key questions and narrative sections extracted from the solicitation.
Project Summary (1 page): overview of project vision and goals
Project Description Section 3.a: Overview and Rationale
Project Description Section 3.b: Research Plan — foundational AI objectives, use-inspired integration, five-year timeline, partner roles
Project Description Section 3.c.1: Education and workforce development broader impacts
Project Description Section 3.c.2: Broadening participation plans with evidence-based strategies
Project Description Section 3.c.3: Collaboration and knowledge transfer
Project Description Section 3.d: Key Personnel, Management, and Integration Plan — organizational structure, management team roles, external advisory board plan
Scoring criteria used to review proposals for this grant.
According to the current listing, eligibility includes: Universities, non-profit organizations, and other entities engaged in AI research. Confirm the full requirements in the official notice before applying.
Artificial Intelligence Research Initiatives is funded by NSF - U.S. National Science Foundation. 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.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The solicitation lists 12 required documents: Cover sheet, Project Summary (1 page), Project Description (25 pages max for full proposal), References cited, Biographical sketches (3 pages per person), and Budget (5-year breakdown), among others (the full list is in the Required Documents section on this page). Check the official notice for formatting and page-limit rules.
Congress appropriated \$8.75 billion for NSF in FY2026, rejecting the administration's proposed 55% cut to \$3.9 billion. But between April and May 2025, DOGE terminated 1,752 grants worth \$1.4 billion, hitting STEM Education (\$888M, 839 grants) and Social, Behavioral and Economic Sciences hardest. Director Panchanathan resigned April 24, 2025; no permanent replacement has been named. Effective December 15, 2025, NSF cut minimum external reviews from three to two, made one internal review allowable, made panel discussions optional, and shrank panel summaries to three to five sentences. Here is what the new NSF actually looks like as a funder, who is being selected against, and how to position a 2026 proposal against the new merit review.
Read articleOn June 1, DARPA and NSF announced AI Forge — a jointly governed forum that will fund university-led research on three thrusts: AI interpretability, AI control, and adversarial robustness. The RFI on sam.gov closes June 22, 2026, at 5:00 PM ET. Project Ventures awards run roughly \$750K to \$3M with one-year durations and multiple awards expected annually. Administration runs through a nonprofit, intellectual property will be shared via open-source licensing, and CAISI at NIST is the third partner. Here is what the 15 priority research challenges look like and how U.S. universities should respond.
Read articleOn May 31, NSF announced the restart of its SBIR and STTR programs with a \$250 million FY26 allocation, a Project Pitch portal reopening June 2, a first full-proposal deadline of July 27, 2026, and additional windows on November 4 and March 4, 2027. Phase I tops out at \$305K, Phase II at \$1.25M, and a new Strategic Breakthrough lane extends invited Phase II companies up to \$30M. A separate \$40M instrumentation pilot (NSF 26-511) funds next-generation scientific tools. Here is what changed from prior cycles, who the program actually fits, and how to position a Project Pitch for the July deadline.
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