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NSF Robust Intelligence (RI) Program for Core Artificial Intelligence and Machine Learning Research is sponsored by U.S. National Science Foundation (NSF), Directorate for Computer and Information Science and Engineering (CISE). Advances the science of intelligent computational systems that perceive, learn, reason, and act robustly in complex, uncertain, and adversarial environments.
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Directorate for Computer and Information Science and Engineering (CISE) | NSF - U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (CISE) View image credit & caption Directorate for Computer and Information Science and Engineering (CISE) The U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (NSF CISE) advances fundamental research, innovation and education across computer science, information science and computer engineering.
NSF CISE investments support the ideas, talent and infrastructure that strengthen U.S. leadership in computing, artificial intelligence, cybersecurity, quantum information science, robotics, advanced communications, software and systems, research cyberinfrastructure and computing education.
Through support for universities, research centers, community-based organizations, industry partnerships and national-scale infrastructure, CISE helps advance the discoveries and workforce needed for America's economic prosperity, national security and long-term competitiveness.
NSF-funded researchers push driverless race cars to the limit to improve the performance and safety of autonomous vehicles New state of matter could aid quantum computing Expeditions in Computing (Expeditions) Next Required Due Date: December 2, 2026 U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs: Next Required Due Date: November 4, 2026 Unleashing a new age of AI-enabled scientific discovery through the Genesis Mission Next Required Due Date: See letter for details Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Next Required Due Date: November 4, 2026 View all CISE opportunities NSF announces $1.
5B for foundational research to drive scientific breakthroughs for American technological leadership New NSF State and Regional AI Infrastructure Hubs will power AI-enabled scientific research across the country Podcast: New microchips could supercharge AI CISE is organized around six thematic science areas that support foundational research, use-inspired innovation, education and infrastructure across the computing and information science enterprise.
Center-scale and testbeds Supports large-scale, center-level and testbed investments that bring together research communities, infrastructure and partnerships to accelerate discovery and transition. Computing and AI foundations Supports foundational research in AI, machine learning, data, algorithms, communications and intelligent systems.
Cyber, physical and intelligent systems Supports foundational research that enables intelligent technologies to operate safely and reliably across physical, digital and human environments. Human-centered computing and education Supports research and education at the intersection of people, computing and learning.
Software and systems foundations Supports unconventional, potentially paradigm-shifting research that explores new models, technologies and foundations of computing. Office of Advanced Cyberinfrastructure Supports the design, deployment and operation of advanced research cyberinfrastructure for the national science and engineering community. CISE areas supporting NSF priorities.
Artificial Intelligence and human-AI teaming CISE supports AI research in areas such as machine learning, computer vision, natural language processing and robotics, as well as interdisciplinary collaborations to advance AI in areas of national importance and workforce training in AI.
CISE supports programs that strengthen computing education at all levels — from k-12 to postdoctoral and faculty training — and help build a strong pipeline of talent in computer and information science.
CISE invests in foundational and applied research that advances quantum algorithms, programming languages, architectures and systems to help transform computing, communications and cybersecurity and sustain U.S. leadership in quantum innovation. CISE invests in high-performance computing systems that enable researchers to tackle complex problems in science and engineering at scale — from climate modeling to genomics to AI.
Secure and resilient cyberspace CISE advances research and applications in cybersecurity to enhance security, privacy and trustworthiness in cyberspace and support innovations that strengthen national cyberinfrastructure resilience.
Communications and wireless CISE supports a portfolio of programs designed to accelerate innovation in next-generation communication technologies including wireless systems that are secure, resilient and capable of leveraging AI to adapt in real time. Learn more about CISE work in these focus areas
According to the current listing, eligibility includes: U. S. universities and colleges, eligible non-profit research organizations; principal investigators typically faculty or research staff. Confirm the full requirements in the official notice before applying.
The current listing shows $500,000 - $1,200,000 over 3-4 years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF Robust Intelligence (RI) Program for Core Artificial Intelligence and Machine Learning Research are due December 15, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF Robust Intelligence (RI) Program for Core Artificial Intelligence and Machine Learning Research is funded by U.S. National Science Foundation (NSF), Directorate for Computer and Information Science and Engineering (CISE). 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.
CISE Future Computing Research (Future CoRe, NSF 25-543) is the National Science Foundation's core foundational research program for computer and information science, and it is the single most accessible NSF pathway for investigator-initiated AI and machine learning research. The solicitation spans three participating divisions - Computing and Communication Foundations, Information and Intelligent Systems, and Computer and Network Systems - which together cover machine learning theory, algorithms, foundation model architectures, natural language processing, computer vision, robotics and intelligent systems, and the systems and hardware substrate that large-scale AI training and inference depend on. Awards run up to $1 million over four years, with typical projects landing between $150,000 and $250,000 per year. Unlike NSF's large center-scale AI competitions, Future CoRe funds single investigators and small teams, which makes it the realistic target for a faculty member starting or sustaining a generative AI research agenda. The program has two annual submission windows: the first Thursday in February and the second Thursday in September, with the September 2026 target date falling on 10 September 2026. Proposals may indicate the extent to which generative AI was used in preparing the proposal, per NSF guidance.
NSF's Robust Intelligence (RI) program advances the science of intelligent computational systems that perceive, learn, reason, and act robustly in complex, uncertain, and adversarial environments. It funds core AI and machine learning research spanning computer vision, natural language processing, knowledge representation, planning, and the foundations of trustworthy and robust AI. Awards typically range from about $500,000 to $1.2 million over three to four years, with proposals accepted on a rolling or annual basis depending on the current solicitation.
Robust Intelligence is NSF's core foundational artificial intelligence program and, for an academic AI researcher without a domain application or a national-security angle, it is the most direct federal funding route that exists. NSF describes it as encompassing the foundational computational research needed to understand and develop systems that can sense, learn, reason, communicate, and act in the world, and it spans five research areas: artificial intelligence covering learning, abstraction, inference, knowledge representation, reasoning, planning and multi-agent systems; machine learning covering algorithms and models that generalize from data; computer vision; human language technologies covering analysis and generation of text and speech; and computational neuroscience. Two exclusions define the program more sharply than its inclusions, and both are stated explicitly by NSF. First, RI does not fund projects that simply apply existing techniques to a specific domain - a proposal that takes an off-the-shelf model and points it at a new dataset is not responsive, however useful the application. Second, RI does not fund robotics research, which NSF directs instead to the Foundational Research in Robotics program. Those two boundaries account for a large share of misdirected proposals, and getting on the right side of both is the main framing task before writing. RI is administered through the CISE Core Programs solicitation, NSF 25-543, which is the same vehicle that carries Human-Centered Computing and other CISE core programs and which sets the Small and Medium project classes, budget bands and submission arrangements. In recent CISE core cycles proposals have been accepted without fixed annual deadlines, but that arrangement has changed between solicitation versions, so confirming the current submission rules in the active solicitation is essential rather than optional. Program contact is cise-ri@nsf.gov.
NSF 26-523 folds 12 core physics programs and three cross-cutting ones into a single solicitation with $180 million and roughly 300 awards. Proposals are accepted anytime, but AMO-Experiment and Gravitational Physics still target November 25 and QIS targets December 8. Cost sharing is prohibited, indirect cost rates are now a tiebreaker, and NSF reserves the right to phase out long-duration efforts after comparative review.
Read articleOn August 26, 2026, NSF named the STC class of 2026: TEMPEST at Michigan State, GENIE at Northwestern, and a human-robot co-adaptation center at UT Austin. $90 million total, $6 million a year each. The 2023 class was four centers and $120 million. The award size is intact; the shelf space shrank 25 percent — and that is the number that should reshape how you plan a center proposal.
Read articleNSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
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