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Find similar grantsRobust Intelligence (RI) is sponsored by National Science Foundation (NSF) / Directorate for Computer and Information Science and Engineering. The Robust Intelligence program supports research projects in computing, including AI, machine learning, and cyber-physical systems, with an emphasis on foundational and community-driven research with societal impact.
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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: Research organizations and institutions, often involving interdisciplinary teams. Confirm the full requirements in the official notice before applying.
The published deadline was September 10, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Robust Intelligence (RI) is funded by National Science Foundation (NSF) / Directorate for Computer and Information Science and Engineering. 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.
RET Sites close October 14, 2026 — about nine awards from $5.8 million, capped at $600,000 over three years, with a PI eligibility rule that disqualifies most of the people who write outreach proposals. RET Supplements reach the same money for $15,000 a teacher and are not a competition.
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