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Empire AI Consortium is sponsored by New York State, State University of New York System, and philanthropic backers (e.g., Tom Secunda). Empire AI is a New York state project to further artificial intelligence technology research. It supports work on domains such as climate change, drug discovery, education, food insecurity, cybersecurity threats, and healthcare diagnostics.
The consortium provides leading public and private research universities with access to state-of-the-art AI computing resources.
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Or search similar grants →According to the current listing, eligibility includes: New York's leading public and private universities, including SUNY, City University of New York, Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the University of Rochester, Rochester Institute of Technology, the Icahn School of Medicine at Mount Sinai, and the Flatiron Institute. Confirm the full requirements in the official notice before applying.
The current listing shows over $400 million in total funding, with recent $165 million in new funding (state and matching funds). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Empire AI Consortium is funded by New York State, State University of New York System, and philanthropic backers (e.g., Tom Secunda). Verify program details on the funder's official page before applying.
This opportunity targets applicants in New York. If your organization operates elsewhere, check the official notice for location requirements.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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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 Hydrocarbons and Geothermal Energy Office's University Training and Research program funds coal, oil and gas, and geothermal R&D at U.S. colleges and universities — but every proposal must include a non-academic partner and must build training modules that outlive the award. The LOI deadline is October 1, 2026, with full applications 15 days later. Here is what that compressed window means and why the workforce framing changes what a competitive proposal looks like.
Read articleDARPA's DIAL program already had AI rediscover the Kalman filter and wavelets from scratch. SPEED DIAL (DPA26TZ05-DV003) funds the unglamorous next step: turning algorithm discovery into a tool that plugs into MATLAB, Simulink, and COMSOL. Up to $750,000 base plus a $1.25 million option, Direct to Phase II only, with a three-accomplishment feasibility gate and a mandatory university partner. Here is the milestone schedule, the interpretability requirement, and who is actually eligible.
Read articleGates committed $540.2 million over a decade to the Institute for Health Metrics and Evaluation — the largest gift in University of Washington history — while IHME's federal grant income falls from $7.3 million to a projected $4.8 million. The gift is a case study in the anchor-funder model: what it can do that federal money cannot, and the concentration risk it quietly underwrites.
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