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DARPA CLARA (Compositional Learning-And-Reasoning for AI Complex Systems Engineering) is a grant from the DARPA Defense Sciences Office that funds research to overcome fundamental limitations in today's AI systems.
Current ML-centric approaches tack specialized automated reasoning onto large language models, producing systems with weak assurance; CLARA seeks to develop genuinely compositional architectures that integrate learning and reasoning from the ground up for high-assurance, explainable AI in complex systems engineering applications. Eligible applicants include U.S. universities, research organizations, and small businesses.
Proposals are due by April 10, 2026.
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CLARA: Compositional Learning-And-Reasoning for AI Complex Systems Engineering | DARPA Department of War organization.
CLARA: Compositional Learning-And-Reasoning For AI Complex Systems Engineering CLARA: Compositional Learning-And-Reasoning for AI Complex Systems Engineering Today, the dominant industry approach to artificial intelligence (AI) is to tack specialized automated reasoning (AR) components onto a large language model (LLM) or other similar machine learning (ML) system.
These ML-centric systems typically have weak assurance; the “tack-on” approach is an importantly limited way of providing assurance or safeguards. The Compositional Learning-And-Reasoning for AI Complex Systems Engineering (CLARA) fundamental research program is designed to tightly integrate AR and ML components to create high-assurance AI — which is expected to scale even to complex systems of systems.
Integrating the two different branches of AI will provide the speed and flexibility of ML with verifiability based on AR proofs that have strong logical explainability and computational tractability. In more detail, CLARA is anticipated to create powerful methods for the hierarchical, fine-grained, highly transparent composition of important kinds of ML and AR components, including Bayesian, neural nets, and logic programs.
CLARA aims to create a theory-driven algorithmic, highly reusable, scalable foundation for high assurance plus broad applicability, useful for many crucial defense and commercial realms which may include, but is not limited to: Kill web, supply chain & logistics, and wargaming Autonomous and command & control Medical, financial, and legal Information session presentation
Based on current listing details, eligibility includes: Universities, research organizations, small businesses Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is April 10, 2026. 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.
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