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Find similar grantsRobust Intelligence (RI) is sponsored by NSF CISE Directorate. Encompasses computational research needed to develop systems that can sense, learn, reason, communicate, and act in complex environments, pertinent to uncertainty-aware controller robotics.
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Robust Intelligence (RI) | NSF - U.S. National Science Foundation Computer and Information Science and Engineering : Future Computing Research (Future CoRe) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports computational research in AI, machine learning, computer vision, human language technologies, computational neuroscience and core enabling technologies.
Supports computational research in AI, machine learning, computer vision, human language technologies, computational neuroscience and core enabling technologies.
Robust Intelligence (RI) encompasses foundational computational research needed to understand and develop systems that can sense, learn, reason, communicate, and act in the world; exhibit flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection; use a variety of representation or reasoning approaches; and demonstrate competence in complex environments and social contexts.
The RI program accepts research proposals aimed at contributing deeper understanding and new insights in and across the disciplinary areas outlined below. Areas within RI include: Artificial intelligence (AI): All matters of learning, abstraction and inference required for intelligent behavior, and including architectures for intelligence, integrated intelligent agents, and multi-agent systems.
Aspects of intelligence include knowledge representation, logical and probabilistic reasoning, planning, search, constraint satisfaction, and optimization. Machine learning: The study of algorithms and models that are able to solve tasks by generalizing from data. Computer vision: The ability of systems to sense and reason about the visual world.
Research in this area ranges from novel work in computational imaging to methods for high-level semantic understanding of images or videos. Human language technologies: The ability of intelligent systems to analyze, produce, translate, and respond to human text and speech.
Computational neuroscience: Theory and analysis of computational processes in the nervous system, including approaches to the above RI problem areas that are grounded in neural computation and neuroscience.
August 14, 2025 - NSF CISE Core Solicitation: Future Computing Research NSF 25-… Computer and Information Science and Engineering : Future Computing Research (Future CoRe) Directorate for Computer and Information Science and Engineering (CISE)
According to the current listing, eligibility includes: Universities, including Lawrence Technological University. Confirm the full requirements in the official notice before applying.
Robust Intelligence (RI) is funded by NSF CISE Directorate. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
Future CoRe (NSF 25-543) advertises $280 million and 400 to 600 awards across 11 programs, with a September 10, 2026 target date. The directorate behind it is running 43 percent below its own four-year average, $1 billion of NSF's budget is locked in a central account, and the two-proposal cap is enforced with no exceptions. Here is how to read the gap between what the solicitation promises and what the directorate is actually paying for.
Read articleNSF 26-525 keeps the $15 million, seven-year headline that makes Expeditions the largest single investment CISE makes. What changed is underneath: funding is now split into three explicit phases, Years 6 and 7 are contingent on a Year 5 site visit, the Innovation Transition supplement is gone, and the competition calendar moved from June to December — pushing awards out past 2028.
Read articleTCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
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