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"AI Forge DARPA and NSF Program for University-Led National Security AI Research in Interpretability Control and Adversarial Robustness" is currently closed and not accepting applications.
AI Forge is a joint DARPA-NSF initiative — in collaboration with NIST's Center for AI Standards and Innovation (CAISI) — to accelerate university-led fundamental AI research for national security through a nonprofit-administered forum launching in summer 2026.
The program supports three research thrusts: (1) AI Interpretability — making AI system behaviors and decisions understandable to humans for operational use; (2) AI Control — developing verifiable, bounded, and auditable tools for reliable model behavior including human oversight of more capable AI; and (3) Adversarial Robustness — building AI that maintains integrity and performance under deliberate adversarial attack.
The current Request for Information (RFI) collects U.S. university capabilities and interests to establish the AI Forge research forum and identify candidate investigators for fast one-year Project Ventures ranging from approximately $750K to $3M+. Industry partners contribute compute and expertise to selected projects.
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Or search similar grants →According to the current listing, eligibility includes: U.S. universities and academic institutions are encouraged to respond to the RFI. Industry partners and other stakeholders may also participate. The initial RFI focuses on building a repository of U.S. university AI research capabilities aligned with national security challenges in interpretability, control, and adversarial robustness. Project Ventures will be selected via the forum once established in summer 2026. Confirm the full requirements in the official notice before applying.
The current listing shows project Ventures are expected to range from approximately $750,000 to $3,000,000+ per one-year university-led effort, with several funded per year. The AI Forge forum structure combines federal, industry, and academic resources to accelerate breakthroughs in national security AI. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was June 22, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
AI Forge DARPA and NSF Program for University-Led National Security AI Research in Interpretability Control and Adversarial Robustness is funded by Defense Advanced Research Projects Agency (DARPA) and National Science Foundation (NSF) in collaboration with NIST Center for AI Standards and Innovation (CAISI). 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 Air Force Research Laboratory Information Directorate's Geospatial Intelligence Processing and Exploitation (GeoPEX) Broad Agency Announcement (FA8750-21-S-7006) is an open, two-step BAA funding research, development, integration, testing, and evaluation of technologies that enhance geospatial intelligence (GEOINT) capabilities for national security missions. Core technical areas emphasize artificial intelligence and machine learning techniques for full-spectrum GEOINT, automated multi-source data production, cloud-based high-performance computing, photogrammetry, and rapid exploitation of imagery and sensor data. The BAA carries an estimated total ceiling of approximately $99.9 million, with individual awards from roughly $250,000 to $10 million over performance periods up to 36 months. White papers are accepted on a rolling basis and the announcement remains open and effective through September 30, 2026.
The Department of Energy's Advanced Materials and Manufacturing Technologies Office (AMMTO) Smart Manufacturing Funding Opportunity Announcement (DE-FOA-0003329) provides up to $33 million to fund high-impact applied research, development, and demonstration projects that use digitization, artificial intelligence, machine learning, and physics-informed models to improve the technical performance, efficiency, productivity, and competitiveness of U.S. manufacturing. Areas of interest include AI- and ML-driven automation integrating hardware and software systems into manufacturing tooling and equipment, manufacturing asset management for system performance optimization (cost, quality, throughput), intelligent materials identification and sorting for circular economy outcomes, and digital twin platforms supporting clean energy manufacturing. The FOA aligns with the DOE Industrial Decarbonization Roadmap and supports the broader Manufacturing USA Smart Manufacturing strategy.
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Read articleOn June 1, DARPA and NSF announced AI Forge — a jointly governed forum that will fund university-led research on three thrusts: AI interpretability, AI control, and adversarial robustness. The RFI on sam.gov closes June 22, 2026, at 5:00 PM ET. Project Ventures awards run roughly $750K to $3M with one-year durations and multiple awards expected annually. Administration runs through a nonprofit, intellectual property will be shared via open-source licensing, and CAISI at NIST is the third partner. Here is what the 15 priority research challenges look like and how U.S. universities should respond.
Read articleThe RFI closed June 22. Now the forum is standing up. AI Forge is a jointly governed, university-led venture funding interpretability, control, and adversarial robustness in one-year Project Ventures — here's how the 15 challenges, the CAISI tie, and the nonprofit administrator reshape who gets funded.
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