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"DARPA CLARA Program for Compositional Learning-and-Reasoning for High-Assurance AI Systems" is currently closed and not accepting applications.
DARPA's Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA, DARPA-PA-25-07-02) program develops high-assurance AI systems that tightly integrate machine learning and automated reasoning through hierarchical composition of Bayesian models, neural networks, and logic programs.
Application domains include course-of-action planning, multi-condition medical guidance, supply chain and logistics, autonomous systems and command-and-control, wargaming, and science and technology design. The program is structured in two technical areas: TA1 develops new high-assurance ML/AR composition approaches (theory, algorithms, and open-source code) and TA2 builds a software composition library integrating validated TA1 tools.
All software produced must be released as open source under an Apache 2. 0 license. Awards are up to $2 million over 24 months.
Proposals were due April 10, 2026, with awards executing in mid-2026.
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Or search similar grants →According to the current listing, eligibility includes: Open to all responsible sources capable of conducting the research, including industry, small businesses, and academia. Mandatory open-source release (Apache 2.0) of all developed software is required. Confirm the full requirements in the official notice before applying.
The current listing shows up to approximately $2,000,000 per award over a 24-month period of performance. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was April 10, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DARPA CLARA Program for Compositional Learning-and-Reasoning for High-Assurance AI Systems is funded by Defense Advanced Research Projects Agency (DARPA), Defense Sciences Office (DSO). 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.
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