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ExLENT is NSF's experiential-learning workforce program, and the AI angle here is applied rather than research: it funds paid, hands-on training pathways into artificial intelligence, biotechnology, quantum and advanced manufacturing jobs, not laboratory work on AI methods. Awards run up to USD 1,000,000 per educator-led team for up to three years.
The most recent cycle put nearly USD 38,000,000 into 46 teams, part of nearly USD 87,000,000 committed across all cycles announced to date, with the Micron Foundation co-investing alongside NSF - a corporate-federal pairing that is worth noting because it signals employer demand as an explicit design constraint on funded programs.
The structural requirement is cross-sector partnership: awardees connect employers and industry partners in critical and emerging technologies with nonprofit and educational entities, and the resulting programs deliver classroom-based learning and paid work-based internships oriented toward industry-approved certifications.
Recent cycles have added explicit funding for K-12 student engagement in AI skills development, extending the program's reach below the postsecondary level. Participation is deliberately broad on the learner side - the program welcomes people with varying levels of prior STEM exposure, and past cohorts have included veterans and career-changers moving into high-skill roles.
Eligible applicants are nonprofits and institutions of higher education. Deadlines follow NSF's published solicitation cycle rather than a fixed annual date, so prospective applicants should track the current ExLENT solicitation on nsf. gov.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are nonprofit organizations and institutions of higher education; awards go to educator-led teams that assemble cross-sector partnerships. The program requires connecting employer and industry partners working in critical and emerging technologies with nonprofit and educational entities, so a credible industry partnership is a structural requirement rather than an enhancement. Funded activities are experiential learning pathways - paid classroom-based learning and paid work-based internships - in artificial intelligence, biotechnology, quantum information science and advanced manufacturing, oriented toward industry-approved certifications. Recent cycles include explicit support for K-12 student engagement in AI skills development. The program is designed to welcome participants with varying levels of prior experience in and exposure to science, technology, engineering and mathematics, including veterans and career-changers, so proposals need not target students already on a STEM track. Awards are up to USD 1,000,000 per team for project periods of up to three years. Nearly USD 38,000,000 was distributed to 46 teams in the most recent funding cycle, drawn from nearly USD 87,000,000 invested across all ExLENT cycles announced to date, with the Micron Foundation co-investing alongside NSF. Deadlines follow the current NSF ExLENT solicitation cycle; prospective applicants should consult the active solicitation on nsf.gov for submission dates. Confirm the full requirements in the official notice before applying.
The current listing shows awards of up to USD 1,000,000 per team for up to three years. Nearly USD 38,000,000 was distributed to 46 educator-led teams in the most recent cycle, from nearly USD 87,000,000 invested across all ExLENT cycles announced to date. Verify award ceilings, matching requirements, and allowable costs in the official notice.
NSF ExLENT Experiential Learning for Emerging and Novel Technologies with Micron Foundation for AI and Advanced Manufacturing Workforce Training is funded by U.S. National Science Foundation (Directorate for Technology, Innovation and Partnerships) in partnership with the Micron 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.
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.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
NSF 26-508 will deploy up to $224 million across 56 State/Territory AI Coordination Hubs over three to four years. Each hub gets $1M annually to build an AI Learning Resource Navigator, a state AI readiness plan, deployment support, capacity-building, and priority-sector coordination. The Letter of Intent is due June 16 and the full proposal July 16. Here is what the program is really buying, who is best positioned to win Round 1, and why the no-cost-share rule reshapes the partner landscape.
Read articleTCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleOn August 26, 2026, NSF named the STC class of 2026: TEMPEST at Michigan State, GENIE at Northwestern, and a human-robot co-adaptation center at UT Austin. $90 million total, $6 million a year each. The 2023 class was four centers and $120 million. The award size is intact; the shelf space shrank 25 percent — and that is the number that should reshape how you plan a center proposal.
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