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Find similar grantsNSF AI+ Expo is sponsored by NSF. Event showcasing NSF's AI initiatives, including funding opportunities and research.
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NSF at the AI+ Expo | NSF - U.S. National Science Foundation View image credit & caption The U.S. National Science Foundation is advancing artificial intelligence through investments in foundational research, infrastructure and talent that drive the next generation of AI breakthroughs. NSF invests approximately $700 million annually in AI research, education and infrastructure across all 50 states.
NSF invites the research community and public to visit booths #1124 and #749 in the AI+ Expo Exhibit Hall to explore how AI innovations are created, scaled and brought to market. NSF's exhibits will showcase the full AI innovation pipeline — from discovery to deployment to workforce development.
Will feature researchers from four NSF programs that support the development and translation of breakthrough AI technologies: National AI Research Institutes Launched in 2019, the NSF-led National Artificial Intelligence Research Institutes program consists of 29 AI institutes that connect over 500 funded and collaborative institutions across the U.S. and around the world.
The AI Institute for Advances in Optimization will be featured at the AI Expo. The institute focuses on: Applying AI to real-world systems like supply chains, energy systems, manufacturing, precision agriculture and chip design. Bridging theory and application to improve efficiency across critical sectors.
America's Seed Fund, powered by NSF Since 1977, America's Seed Fund (also known as the NSF Small Business Innovation Research/Small Business Technology Transfer program) has supported thousands of startups and small businesses, transforming scientific discovery into products and services with commercial and societal impact.
Startups working across almost all areas of science and technology, including AI systems and AI-based hardware, can receive up to approximately $2 million to support research and development, helping de-risk technology for commercial success. The company TerraAI will be featured at the AI+ Expo and focuses on developing AI-driven decision-support tools for critical mineral exploration, energy systems and subsurface resource development.
It also uses advanced machine learning and geophysical modeling to improve resource discovery and support the development of materials essential for energy and defense. The NSF Regional Innovation Engines (NSF Engines) program aims to cultivate multiple flourishing regional innovation ecosystems across the U.S., spurring economic growth in regions that have not fully participated in the technology boom of the past few decades.
Each NSF Engine can receive up to $160 million to support the development of regional coalitions of researchers, institutions and companies to conduct research and development.
The NSF ASCEND Engine , strategically centered between Colorado and Wyoming, will be featured at the AI+ Expo and focuses on: Advancing sensing and computational analytics technologies to monitor natural resources and improve the prediction of natural hazards risks. Developing solutions for water resource management, agriculture and community resilience through research, workforce development and deployment programs.
Mid-Scale Research Infrastructure The Mid-Scale Research Infrastructure program funds high-impact, high-reward, community-driven infrastructure that fills the gap between individual research grants and large-scale national facilities. Advanced AI depends on access to large-scale models, tools and computing resources.
NSF is expanding access to these resources through national infrastructure investments, including: High-performance computing. NSF-led National AI Research Resource .
The Open Multimodal AI Infrastructure to Accelerate Science project, a public-private partnership between NSF and NVIDIA, will be featured at the AI+ Expo and focuses on: Fully open, multimodal large language models designed to support scientific research across disciplines. Enabling AI-driven breakthroughs, including the discovery of new materials and protein function prediction for biomedical advancements.
We will showcase NSF's investments in the next generation of AI innovators through the Advanced Technological Education, Innovative Technology Experiences for Students and Teachers, NSF STEM K-12, and Discovery Research PreK-12 programs.
Featured projects and initiatives advance AI literacy, workforce development and hands-on STEM education, including: The National Applied AI Consortium , which focuses on: Applied AI education and workforce development through faculty training, curriculum design and accessible learning resources.
Building connections among academic institutions, industry partners and educators to align AI education with workforce needs and expand national pathways to AI careers.
Another project that will be featured is the 7 th Patient, an educational AI game developed by Ning Wang from the University of Southern California, designed to teach probability and artificial intelligence while addressing the need to help the nation's youth learn the fundamentals of AI. Upcoming events in this series Thursday, May 7, 2026, 8:00 a. m.
– Saturday, May 9, 2026, 4:00 p. m.
National Artificial Intelligence Research Institutes NSF Regional Innovation Engines (NSF Engines) Program Advanced Technological Education (ATE) Innovative Technology Experiences for Students and Teachers (ITEST) Discovery Research PreK-12 (DRK-12) NSF STEM K-12 (STEM K-12) Directorate for Computer and Information Science and Engineering (CISE) Directorate for Technology, Innovation and Partnerships (TIP) Directorate for STEM Education (EDU)
Based on current listing details, eligibility includes: Open to all. Applicants should confirm final requirements in the official notice before submission.
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Agricultural Technologies (AG) - NSF SBIR/STTR is sponsored by National Science Foundation (NSF). The Agricultural Technologies topic supports innovations enabling farm production ecosystems that support the proper utilization of natural resources. Such technologies may encompass systems-level and multidisciplinary solutions to enable complex agricultural practices that support increased biodiversity balanced with yield production. Sub-topics include food waste mitigation, resilient supply & distribution, and other agricultural technologies.
Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.
Digital Cities' Innovation Accelerator Small Grant Program is sponsored by U.S. State Department's Bureau of Cyberspace and Digital Policy (CDP). These small grants activate the private sector to deliver novel and innovative solutions to civic challenges. Projects must address a sub-national public service or infrastructure need AND incorporate trusted U.S. digital based solutions, empowering municipalities to improve public service delivery.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
AWS Imagine Grant program - Momentum to Modernize Award is sponsored by Amazon Web Services (AWS). This award provides funding for transformational infrastructure projects, helping nonprofit organizations enhance their core mission operations with technology. This includes foundational technology projects, such as migrating servers to the cloud and modernizing new and existing applications.
NSF's relaunched SBIR/STTR program under solicitation 26-510 commits $250 million for deep-tech startups, opens Project Pitches June 2, 2026, and sets the first full-proposal deadline for July 27. The Strategic Breakthrough Awards tier — up to $30M per company — is the largest single-company commitment in NSF SBIR history.
Read articleOn May 27, 2026 NSF announced the Tech Accelerators initiative — a new program structure that funds independent organizations to stand up topic-specific accelerators in four deliberately under-capitalized deep-tech areas: agricultural technology, materials technology, ocean technology, and scientific instrumentation. The accelerators in turn fund early-stage teams against fast-paced milestones tied to patents, pilots, licenses, and customer growth. A Request for Information on SAM.gov is open through July 14 to gather feedback on the model, the four topic areas, and prospective lead organizations. This is not yet a funding solicitation — it is the design window. Which is exactly why it matters. Here is the structural model NSF is testing, the lineage from I-Corps and Convergence Accelerator, the four-topic eligibility logic, and the realistic strategy for any organization that wants to be a lead accelerator or a funded team.
Read articleNSF published solicitation 26-508 establishing TechAccess: AI-Ready America, a three-round program to fund up to 56 statewide AI coordination hubs — one per state, the District of Columbia, and each U.S. territory — at $1M per year for three years with a possible fourth-year extension. Round one funds 10 hubs with letters of intent due June 16, 2026 and full proposals due July 16. Round two opens December 15 for an additional 20 hubs; round three covers the remainder in 2027. The program is NSF's largest single bet on AI literacy and statewide AI capacity outside of the existing AI Research Institutes. Here is the eligibility math, the convening-authority gate, the partnership architecture that wins, and the strategic question every state higher-ed system needs to answer in the next two weeks.
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