1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
The USDA ARS AI Innovation Fund is an annual intramural funding program from the Agricultural Research Service's Artificial Intelligence Center of Excellence (AI-COE) that directly supports the development and adoption of AI and machine learning tools in agricultural research. The FY2026 cycle funded 4-6 proposals at up to $100,000 each.
The program supports two primary categories of projects: (1) development or adaptation of AI/ML methods to help ARS scientists address agricultural research questions, and (2) creation of prototype digital products using AI/ML technologies for producers or agricultural researchers. Projects should utilize SCINet computing resources including the Ceres and Atlas high-performance computing clusters.
Proposals are limited to 2 pages plus an abstract (maximum 1,500 characters), and funds must be spent or obligated by end of the fiscal year. The program represents USDA's commitment to integrating AI into agricultural research across areas including crop science, soil health monitoring, livestock management, pest detection, and climate-smart agriculture.
While eligibility is limited to ARS scientists, the program produces open research outputs that benefit the broader agricultural AI community.
Get alerted about grants like this
Save a search for “USDA Agricultural Research Service (ARS) Artificial Intelligence Center of Excellence” or related topics and get emailed when new opportunities appear.
Search similar grants →Based on current listing details, eligibility includes: ARS Category 1, 4, or 6 scientists with Research Leader (RL) or supervisor approval. This is an intramural USDA program limited to Agricultural Research Service employees. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $100,000 per award. Approximately 4-6 awards funded per fiscal year, totaling $400,000-$600,000 annually. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
The Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
OVW Research and Evaluation Program is sponsored by Department of Justice. The purpose of the Research and Evaluation (R&E) Program is to further develop and make maximum use of the evidence base for approaches to combatting domestic violence, sexual assault, dating violence, and stalking. By generating more knowledge about strategies for serving victims and holding offenders accountable, communities that benefit from VAWA funding will be better equipped to align their work with practices that are known to be effective, and they will be more capable of generating empirical knowledge on the efficacy of new and promising ways of doing things. Because OVW has very limited funds to support research and evaluation, this program prioritizes topics for which a stronger evidence base would help OVW grantees use federal funds most effectively. This listing is currently active. Program number: 16.026. Last updated on 2024-11-25.