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Find similar grantsRobust Intelligence (RI) is sponsored by National Science Foundation (NSF). Supports research on human-AI interaction, augmented intelligence, and innovative AI systems design for robust human-centered applications.
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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, research organizations. Confirm the full requirements in the official notice before applying.
The current listing shows $1,000,000 - $2,000,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Robust Intelligence (RI) is funded by National Science Foundation (NSF). 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.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
TCUP 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.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
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