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AI Safety Research Grants (Applied Research) is sponsored by National Institute of Standards and Technology (NIST). This grant supports applied research in AI safety and explainability. It is part of the ITL Grant Program, which provides financial assistance to support research consistent with the ITL's missions, including Artificial Intelligence, Cybersecurity, and Privacy Engineering.
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Or search similar grants →According to the current listing, eligibility includes: Universities, Nonprofits, State/local governments. Confirm the full requirements in the official notice before applying.
The current listing shows $10,000 - $500,000 per year for up to five years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Safety Research Grants (Applied Research) is funded by National Institute of Standards and Technology (NIST). 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.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Nebius Research Grants Program is sponsored by Nebius. The Nebius research grants program provides researchers with free access to GPU cloud, AI models, and Tavily's agentic search engine, along with Nebius' expertise to accelerate discovery and deployment in AI. It supports academic or scientific projects with clear objectives, innovative use of GPUs for AI, machine learning, data analytics or HPC, and demonstrated feasibility and potential impact.
The FY2026 MEP Center State Competition ran in two rounds: eight states worth $139.1 million, then fourteen more worth $232.4 million, both closing August 21, 2026. That's 43 percent of the national network recompeted in twelve months, under a 50 percent non-federal cost share, while the administration's own budget request proposed eliminating the program. Here's what the award tables reveal, why incumbents are genuinely at risk, and how to position for the FY2027 wave.
Read articleNIST's July 2026 MEP funding opportunity opens 14 state and territory centers — from California's $15.6M to Alaska's $706K — to new operators under cooperative agreements requiring a 50% nonfederal match. Applications are due August 21, 2026, with a July 28 webinar. Here is who can compete, how the match works, and why this recompete matters for every small manufacturer in those 14 states.
Read articleThe Water Research Foundation's RFP 5394 — up to $200,000 to evaluate GenAI and Agentic AI scalability across at least six water and wastewater utilities, NIST AI RMF integration required, proposals due 3 p.m. Mountain Time on May 20 — is the first major sector-utility-funded AI research initiative to bake risk-management framework compliance into the work statement. Four days remain.
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