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Find similar grantsDARPA's AI Next Campaign and AI Forward initiative fund innovative AI research with potential applications in various sectors, including biomedical advances and robust AI systems.
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Or search similar grants →According to the current listing, eligibility includes: All responsible sources are invited to propose high-risk, high-impact ideas. (For the $2M DARPA Grant for Force-Detecting Sensors, eligibility was University researchers in collaboration with industry partners). Confirm the full requirements in the official notice before applying.
AI Next Campaign / AI Forward (AI Exploration Opportunities - AIEs) is funded by Defense Advanced Research Projects Agency (DARPA). Verify program details on the funder's official page before applying.
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Urgent Action Fund is sponsored by Resist. The Urgent Action Fund resources organizations with urgent projects or requests that include, but are not limited to, events, direct actions, accessibility, and mutual aid. Projects that reflect escalated resistance, campaigns, events, or programmatic work will be prioritized. Applications open on the last Monday and close the following Friday of each month until the cap has been reached. The next cycle is September 14-18, 2026.
NSF ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support) provides access to dozens of high-performance computing systems including GPU clusters at no cost for academic research and education. The program replaced XSEDE in 2022 and offers tiered allocation levels from small-scale pilot experiments to large-scale research campaigns. Recent hardware upgrades through the NAIRR Pilot added NVIDIA H100 GPUs at multiple sites. Particularly valuable for AI/ML researchers needing GPU time for model training, inference, and large-scale experiments without existing funding.
The ASCR Leadership Computing Challenge (ALCC) provides allocations of leadership-class compute time on Department of Energy supercomputers — Aurora at Argonne, Frontier at Oak Ridge, and Perlmutter at NERSC — for high-risk, high-payoff research aligned with DOE mission areas including AI for science, foundation model training, climate AI, materials AI, and computational discovery. ALCC complements the larger INCITE program with a focus on DOE mission-aligned research and accepts proposals targeting both proof-of-concept AI research and production-scale AI training. The program now accepts multi-year proposals up to three years, providing greater stability for long-running AI training campaigns. Recent ALCC cycle (closed February 27, 2026) prioritized AI/ML for energy security, AI for materials and chemistry discovery, foundation models for scientific applications, and AI-coupled simulation workflows. Next call expected to open in November 2026 for the 2027-2028 allocation year. Awards begin July 1 each year. ALCC eligibility extends beyond traditional DOE-funded research, making it accessible to industry, university, and nonprofit AI researchers with mission-relevant projects.
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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