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DARPA's AI Forward initiative explores new directions for artificial intelligence research that will result in trustworthy systems for national security missions. The program emphasizes three core research areas: foundational theory, AI engineering, and human-AI teaming.
AI Forward operates as an umbrella initiative funding multiple specific programs including EMHAT (Embodied Human-AI Teams), FACT (Conversational Accountability), FoundSci (Foundation Models for Scientific Discovery), and the AI Next Campaign. Funding flows through AI Exploration (AIE) opportunities with streamlined contracting procedures designed to rapidly advance promising AI concepts.
Awardees must begin work within three months of opportunity announcement and operate on 18-month feasibility timelines, enabling rapid exploration of high-risk, high-reward AI research directions for defense applications.
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Or search similar grants →According to the current listing, eligibility includes: Open to qualified researchers and experts in artificial intelligence including U.S. universities, research institutions, nonprofit research organizations, small businesses, and large defense contractors. Applicants should demonstrate technical capability in foundational AI theory, AI engineering for production systems, or human-AI teaming. Foreign participants generally require additional review. Specific eligibility per AIE topic announcement. Confirm the full requirements in the official notice before applying.
The current listing shows funding flows through AI Exploration (AIE) opportunities with streamlined contracting procedures. AIE awards typically up to $1 million for 18-month feasibility studies. Awardees must begin work within three months of opportunity announcement. Specific award amounts vary by individual program announcement under AI Forward umbrella. Verify award ceilings, matching requirements, and allowable costs in the official notice.
DARPA AI Forward Initiative for Trustworthy AI in National Security Missions 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.
DARPA's Defense Sciences Office launched the Mathematics of Boosting Agentic Communication (MATHBAC) program on April 7, 2026, under solicitation DARPA-PA-26-05. MATHBAC aims to develop the mathematical and scientific foundations needed to make networks of AI agents collaborate more effectively and ultimately accelerate the pace of scientific discovery for national defense. The program seeks innovative research proposals that advance foundational mathematics, systems theory, and information theory required to enable and understand science-discovery by autonomous agents and agent collectives. Researchers will develop tools to model individual AI agents as mathematical operators, analyze how different communication structures affect a team's ability to solve problems, and build software that lets researchers design optimized multi-agent communication protocols without large-scale trial and error. Key technical areas include multi-agent communication protocols, agentic AI coordination, formal models of collective intelligence, and mathematical frameworks for agent-to-agent collaboration. The program is structured as a 34-month, two-phase effort with Phase I running approximately 16 months and capping individual awards at $2 million. A Proposers Day was held on April 21, 2026. Abstracts were strongly encouraged by April 30, 2026 but are not mandatory. Full proposals are due June 16, 2026, with program performance expected to begin September 15, 2026.
Information Processing Techniques Office Office-Wide (HR001126S0011) is sponsored by Defense Advanced Research Projects Agency (DARPA). DARPA programs focus on fundamental research required to establish proof of concept in science and technology fields crucial for national security. While broad, DARPA often has interests in cybersecurity as part of its mission to prevent technological surprise.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The USDA Specialty Crop Research Initiative (SCRI) 2026 provides $175 million in annual funding for research addressing the needs of the specialty crop industry, with a groundbreaking new $20 million set-aside for mechanization and automation research. For the first time, the SCRI Notice of Funding Opportunity explicitly funds AI-driven automation technologies to help specialty crop growers reduce labor costs, which have been among the most persistent financial pressures in fruit, vegetable, tree nut, and horticulture production. Priority areas include data-driven predictive tools using artificial intelligence, robotics, sensor technologies, precision agriculture, improved mechanization technologies that delay or inhibit ripening, decision support systems, management of quarantine pests, and cybersecurity for agricultural systems. The funding increase was enabled by the Working Families Tax Cuts legislation, more than doubling the previous SCRI budget from $80 million to $175 million per year. Applications are due by 5:00 PM Eastern Time on June 15, 2026. This represents the largest federal investment specifically targeting AI and automation in specialty crop agriculture.
DARPA's Non-Volatile Memory for Extreme Environments topic (DPA26BZ04-DV017) is a Direct-to-Phase-II SBIR worth $1.2 million for radiation-hardened NOR Flash that works from -269°C to +600°C. It opened July 22 and closes August 19, 2026. Here is why the no-Phase-I structure narrows the field to a handful of teams, what the rad-hard specs actually demand, and how a qualified company should sequence a proposal in under a month.
Read articleDARPA's FALCON SBIR topic (DPA26BZ04-DV016) is a Direct-to-Phase-II award worth $1.5 million to teams that can marry the statistical rigor of classical machine learning with the contextual reach of large language models. It opened July 22 and closes August 19, 2026. Here is why the no-Phase-I structure changes who can win, what the hallucination-mitigation requirement really demands, and how a small team should sequence a proposal in under four weeks.
Read articleDARPA pre-released two Release 4 SBIR topics on July 1 — FALCON, fusing efficient ML with large language models, and a non-volatile memory system rated for space and deep-cryogenic extremes. Both open July 22 and close August 19, 2026. Here's what each topic is really asking for and how to build a competitive proposal.
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