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The Argonne Leadership Computing Facility (ALCF) provides in-kind allocations of leadership-scale computing time on the Aurora exascale supercomputer for AI and machine learning research, through mechanisms including Director's Discretionary awards and the Aurora Program for Exascale (APEX).
APEX awards pair dedicated Aurora computing time with embedded staff support and postdoctoral collaboration for two-year projects, enabling development and scaling of large AI models and scientific machine learning. Awards are compute allocations with technical support rather than direct cash funding.
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Or search similar grants →According to the current listing, eligibility includes: Researchers from academia, national laboratories, and industry pursuing large-scale AI, machine learning, and computational science projects requiring exascale resources. Confirm the full requirements in the official notice before applying.
Argonne Leadership Computing Facility (ALCF) Director's Discretionary and APEX Awards for AI on the Aurora Exascale Supercomputer is funded by U.S. Department of Energy (DOE) - Argonne Leadership Computing Facility (ALCF), Argonne National Laboratory. 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 NEH Humanities Research Centers on Artificial Intelligence program funds the creation of university-based humanities research centers focused on the ethical, legal, and societal implications of artificial intelligence. Funded centers undertake interdisciplinary humanities-led research that brings ethics, law, history, philosophy, anthropology, religious studies, literature, linguistics, and cultural studies to bear on questions raised by AI systems. Topics include responsible AI governance frameworks, AI and civil rights, AI and labor, cultural impact of generative AI, AI and creative authorship, philosophical foundations of machine reasoning, history of AI thought, and humanistic evaluation of AI safety and alignment. Centers are expected to convene researchers, train new humanities scholars in AI, host public-facing programming, and produce publications and translational tools that inform policy and public understanding. Strong fit for universities seeking to launch sustained interdisciplinary AI humanities research programs in partnership with computer science and other STEM departments.
NSF SaTC 2.0 (Security Privacy and Trust in Cyberspace) is the largest open solicitation for university-led cybersecurity research in the federal portfolio now expanded with AI security as an explicit priority area. The 2.0 reboot added generative AI security open-source software security quantum computing security and supply chain security as topics of interest addressing the bidirectional role of AI as both a cybersecurity threat and a defensive tool. Research awards support adversarial machine learning and attacks on AI systems AI weaponization against people information and systems privacy-preserving machine learning and responsible AI use for detecting and responding to cyber threats. The program funds three award types: Research awards up to $1.2M for four years Education awards up to $500K for three years and Seedling awards up to $300K for two years through Dear Colleague Letters. Proposals are accepted on a recurring annual basis with two windows per year. This is distinct from NSF CyberAICorps which focuses on scholarship and workforce development and from NSF AIMing which focuses on AI formal methods and mathematical reasoning.
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 soliciting white papers for research, development, integration, test, and evaluation of technologies and techniques to provide geospatial intelligence (GEOINT) in all its forms and from whatever source, including imagery, imagery intelligence, and geospatial data. Explicit focus areas include AI/ML techniques for full-spectrum GEOINT, multi-INT data fusion, cloud-based high-performance computing for geospatial analytics, photogrammetry, computer vision for overhead imagery, automated target recognition, change detection, multi-modal foundation models for geospatial data, and edge AI for tactical reconnaissance. The BAA is open and effective until 30 September 2026 with rolling white paper submission; only white papers are accepted as initial submissions and formal proposals are accepted by invitation only. Strong fit for AI and computer vision performers building geospatial analytics, foundation models, or autonomous reconnaissance tools for Air Force, intelligence community, and combatant command users.
On September 21, 2026 DOE selected 21 projects under DE-FOA-0003472 — five EGS field tests and 16 exploration wells — for up to $99 million of a $171.5 million authorization. The solicitation is structured to reopen for up to 72 months on roughly annual cycles. Here is how to position for the next one.
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Read articleThe DOE Quantum Genesis Q Competition (DE-FOA-0003657) posted September 17, 2026 with an October 19 deadline. Phase I pays $250,000 then $1.25M on milestones; Phase II is a $100M pool plus two $50M bonus pools at 150 and 200 logical qubits. It is an Other Transaction Agreement, not a grant.
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