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The DARPA CLARA program seeks to create high-assurance AI by tightly integrating machine learning with automated reasoning. Rather than the current industry approach of loosely coupling ML with reasoning as an afterthought, CLARA funds research into deep compositional integration that produces AI systems with strong logical explainability and computational tractability.
The program targets applications in autonomous systems, command and control, kill web operations, supply chain logistics, wargaming, and medical, financial, and legal domains. TA1 funds development of new high-assurance ML/AR composition approaches including theory, algorithms, and open-source code. TA2 builds a software composition library that integrates validated TA1 tools into a common framework.
All software deliverables must use permissive open-source licenses. The program is managed by Benjamin Grosof in DARPA's Defense Sciences Office. Solicitation DARPA-PA-25-07-02 was published February 10, 2026, with full proposals due April 17, 2026 (extended from April 10 via Amendment 1).
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Or search similar grants →According to the current listing, eligibility includes: Universities, research organizations, small businesses, and large defense contractors eligible. All software deliverables must use permissive open-source licenses. Proposers should contact the program manager before submitting. Proposals submitted via SAM.gov. Confirm the full requirements in the official notice before applying.
The current listing shows up to $2,000,000 per award over 24 months. Two technical areas: TA1 funds development of new high-assurance ML/AR composition approaches; TA2 builds a software composition library integrating validated tools. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was April 17, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DARPA CLARA: Compositional Learning-And-Reasoning for AI Complex Systems Engineering is funded by Defense Advanced Research Projects Agency (DARPA). 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.
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