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Find similar grantsAssured Neuro Symbolic Learning and Reasoning (ANSR) Program is sponsored by DARPA. Seeks hybrid AI algorithms integrating symbolic reasoning with data-driven learning to create robust and trustworthy autonomous systems.
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Or search similar grants →According to the current listing, eligibility includes: Academic institutions, industry partners, and other research organizations. Confirm the full requirements in the official notice before applying.
Assured Neuro Symbolic Learning and Reasoning (ANSR) Program is funded by DARPA. Verify program details on the funder's official page before applying.
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Cyber-Physical System Foundations and Connected Communities (CPS) is sponsored by NSF - U.S. National Science Foundation. The CPS program seeks foundational advances in all areas of cyber-physical systems, including artificial intelligence for cyber-physical systems. It supports research that integrates computation with physical processes and components, emphasizing safety, wellness, security, efficiency, dependability, and resilience. Research topics include neuro-symbolic and embodied AI approaches, AI-enabled autonomy, safe learning and adaptive systems, and formal methods for verification and assurance of cyber-physical systems.
The restructured CPS program is one of the better-fitting NSF homes for embodied AI work that falls between pure machine learning and pure robotics, and the current solicitation makes that explicit in a way earlier CPS cycles did not. The named research emphases now include neuro-symbolic and embodied AI approaches, AI-enabled autonomy, safe learning and adaptive systems, and formal methods for verification and assurance of cyber-physical systems including those that integrate AI - language that directly invites proposals on provable safety guarantees for learning-enabled controllers, a topic that lost its dedicated NSF home when the Safe Learning-Enabled Systems solicitation (NSF 23-562) was archived after its January 2024 deadline. CPS is the natural landing place for that community. The program runs two tracks and requires proposers to signal which one in the proposal title: CPS Foundational Research (CPS-FR) for theoretical and foundational advances integrating computation with physical processes, and CPS Community-Inspired Research (CPS-CIR) for use-inspired work co-developed with communities to produce translational innovations and deployed systems. Budget structure changed meaningfully and applicants working from older guidance will get it wrong: the Small and Medium project classes have been consolidated into a single class capped at $1,000,000 over up to 4 years, with typical awards running $150,000 to $250,000 per year and an explicit discouragement against exceeding $300,000 in any single year. That annual ceiling is the real constraint - it rules out compute-heavy proposals that front-load GPU costs and favors sustained multi-year theoretical and experimental programs. Scheduling is forgiving: there are no hard deadlines, only target dates, set at the first Thursday in February annually (following the September 11, 2025 and February 5, 2026 dates), which means proposals can be submitted off-cycle at the cost of slower review batching. The program also covers IoT platforms, hardware-software co-design and quantum algorithms for high-dimensional state spaces. Program contact is cise-cps@nsf.gov.
DPA26BZ06-DV023 is a Direct-to-Phase-II SBIR paying $700,000 over 18 months plus a $500,000 option. The physics demands 256x more transmit power than the systems that qualify you to compete, and DARPA will not accept modeling alone as proof. Here is the eligibility wall, the five engineering problems, and who can realistically win it before the October 21 close.
Read articleRelease 6's SBIR topics got the attention. Its three STTR topics — SHIELDER, fuel-flexible electric propulsion, and hypersonic wind tunnel noise diagnostics — are all Direct-to-Phase-II, all require a research institution to perform at least 30 percent of the work, and all close October 21, 2026. The feasibility gates are the real filter.
Read articleDPA26BZ06-DV026 offers $300,000 at Phase I or $1,800,000 as a single Direct-to-Phase-II tranche with no options. The deliverable is a simulated auction market that measures whether AI agents deceive, collude, or manipulate the humans they serve — measured entirely from the outside. Here is the 90% efficiency gate, the team composition most bidders will get wrong, and why this topic sits in DARPA's biology office.
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