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Find similar grantsThis program funds fundamental AI and machine learning research at U. S.
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Or search similar grants →According to the current listing, eligibility includes: US institutions of higher education, nonprofit research organizations, tribal nations, and federal agencies and FFRDCs. An individual may serve as Senior/Key Personnel on a maximum of two proposals per competition. Confirm the full requirements in the official notice before applying.
The current listing shows approximately $667,000 - $2,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Collaborations in Artificial Intelligence and Geosciences (CAIG) for AI Methods Advancing Climate, Weather, Ocean, Atmospheric and Earth System Science (NSF 25-530) is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Past winners and funding trends for this program
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.
TCUP 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 articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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