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ONR's GlobalX Innovation Joint Challenge: AI for Advancing Maritime Security (solicitation N0001425SBC03) seeks innovative AI-driven solutions to enhance maritime security and naval operations. The challenge supports research and development across ONR's AI priorities including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, and AI-enabled decision support for naval operations.
The GlobalX challenge framework enables rapid engagement with non-traditional defense innovators, academic researchers, and industry partners working on maritime AI applications including unmanned surface and undersea vessels, AI-enhanced naval intelligence, autonomous mine detection, ocean environmental modeling for naval operations, and predictive maintenance for naval platforms.
Proposals accepted through ONR's Long Range Broad Agency Announcement structure with rolling submissions.
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Or search similar grants →According to the current listing, eligibility includes: U.S. universities, research institutions, nonprofit research organizations, large and small defense contractors, and non-traditional commercial innovators. Foreign components allowed with restrictions. Particular interest in dual-use AI technologies with both commercial maritime and naval defense applications. Confirm the full requirements in the official notice before applying.
The current listing shows specific award amounts vary by challenge topic. ONR maritime AI awards typically range from $500,000 to $5 million for 12-36 month projects under Long Range BAA structure. Phase development from concept to demonstration scaled to project scope. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for ONR GlobalX Innovation Joint Challenge AI for Advancing Maritime Security are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
ONR GlobalX Innovation Joint Challenge AI for Advancing Maritime Security is funded by Office of Naval Research (ONR). 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.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
GeoPEX is AFRL's standing vehicle for geospatial intelligence research and it is unusually well-suited to AI teams because the problem set - turning imagery and geospatial data into intelligence at scale - is fundamentally a machine learning problem. The BAA seeks research, development, integration, test and evaluation of technologies and techniques that provide GEOINT in all its forms and from whatever source, whether imagery, imagery intelligence, or geospatial data and information. Named focus areas include Full-Spectrum GEOINT, AI and machine learning techniques, multi-peak data production, cloud-based high-performance computing, and photogrammetry. The funding envelope is substantial and the range is wide: individual awards run USD 250,000 to USD 10,000,000 over periods normally not exceeding 36 months, against estimated total programme funding of approximately USD 99,900,000 - which means both a focused university effort and a large integrated industry programme can find a home here. Submission mechanics are the standard AFRL two-step and should be planned for accordingly: only white papers are accepted as initial submissions and formal proposals are accepted by invitation only, so the white paper is the whole competition from the proposer's perspective. Award instruments include procurement contracts, grants, cooperative agreements and other transactions, which gives flexibility on the university side. Submissions require Standard Form 424 and a Security Program Questionnaire, and awards are subject to science and technology protection requirements under AFRLI 61-113 and to FASCSA compliance. The BAA is open and continuous with white papers accepted through 30 September 2026; the BAA programme manager contact is afrl.rig.geopex@us.af.mil.
NOFO N0001426SF004 offers roughly 25 awards at $750,000 over 36 months to first- and second-appointment faculty. No cost share, no white paper stage — and an eligibility clock that admits PhDs earned on or after January 1, 2019 and nobody earlier. The program officer conversation, not the proposal, is the part most applicants get wrong.
Read articleThe Department of the Navy pre-released FY26 Release 3 SBIR/STTR on June 3, 2026 — 12 BAA topics and one Commercial Solutions Opening for Counter-Unmanned Air Systems. Topics span adaptive sensor management, anomalous behavior detection, satellite imagery optimization, real-time zero-trust data for combat systems, and gun weapon systems modernization. Technical questions cut off June 23. Proposals open June 24 and close July 22. NAVAIR and NAVSEA co-host a Counter-UAS webinar June 16. Phase I funding tops out at $315,000. The CSO open topic for AI-powered drone defense is the structural news: it's the first time NAVAIR has used a CSO vehicle to fund counter-drone work outside the conventional Phase I/II structure, and it changes how small businesses can engage with the Navy's most urgent capability gap.
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