2229929
Cooperative Agreement
Overview
Grant Description
AI Institute for Artificial and Natural Intelligence - The AI Institute for Artificial and Natural Intelligence (ARNI) will draw together top researchers across the country to focus on a national priority: connecting the major progress made in artificial intelligence (AI) systems to the revolution in our understanding of the brain.
The past ten years have seen spectacular progress in interrogating neural activity, circuitry, and learning, yet our neuroscience insights have so far informed AI only superficially. Conversely, our rapidly advancing AI methods and systems have only begun to impact neuroscience.
ARNI is a collaboration between Columbia University, Tuskegee University, City University of New York, Baylor College of Medicine, UT Health Houston, MILA QC, Howard Hughes Medical Institute, University of Pennsylvania, Harvard, and Princeton. Industry partners include Google, DeepMind, Amazon, and Meta.
ARNI will meet the urgent need for new paradigms of interdisciplinary training and research between neuroscience, cognitive science, and AI. This will accelerate progress in all three fields and broaden the transformative impact on society in the next decade.
ARNI researchers will work together to tackle the limitations and challenges of current learning systems, including learning with limited data, reasoning about causality and uncertainty, and lifelong learning, which are all hallmarks of biological systems. They will also extend the frontier of understanding how brains compute and learn.
ARNI will bridge the current significant gaps between artificial and biological networks and make room for all kinds of applications, ranging from industrial applications, such as robust, interpretable medical decisions and smarter home assistants, to societal applications, such as better social safety nets and assistive multimodal systems to help the vulnerable, to scientific discoveries such as providing hypotheses about brain function and creating powerful tools for extracting insights from massive data.
The institute will provide educational and research opportunities for undergraduate, graduate, and postdoctoral trainees within and at the interface of AI, neuroscience, and cognitive science. Outreach partners, including the Neuromatch Academy and the New York Hall of Science, will help inform the public of these new developments and teach critical skills to the next generation of students.
The U.S. Department of Defense, Office of the Undersecretary of Defense for Research and Engineering [DOD-OUSD (R&E)] is partnering with NSF to provide funding for this institute. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
The past ten years have seen spectacular progress in interrogating neural activity, circuitry, and learning, yet our neuroscience insights have so far informed AI only superficially. Conversely, our rapidly advancing AI methods and systems have only begun to impact neuroscience.
ARNI is a collaboration between Columbia University, Tuskegee University, City University of New York, Baylor College of Medicine, UT Health Houston, MILA QC, Howard Hughes Medical Institute, University of Pennsylvania, Harvard, and Princeton. Industry partners include Google, DeepMind, Amazon, and Meta.
ARNI will meet the urgent need for new paradigms of interdisciplinary training and research between neuroscience, cognitive science, and AI. This will accelerate progress in all three fields and broaden the transformative impact on society in the next decade.
ARNI researchers will work together to tackle the limitations and challenges of current learning systems, including learning with limited data, reasoning about causality and uncertainty, and lifelong learning, which are all hallmarks of biological systems. They will also extend the frontier of understanding how brains compute and learn.
ARNI will bridge the current significant gaps between artificial and biological networks and make room for all kinds of applications, ranging from industrial applications, such as robust, interpretable medical decisions and smarter home assistants, to societal applications, such as better social safety nets and assistive multimodal systems to help the vulnerable, to scientific discoveries such as providing hypotheses about brain function and creating powerful tools for extracting insights from massive data.
The institute will provide educational and research opportunities for undergraduate, graduate, and postdoctoral trainees within and at the interface of AI, neuroscience, and cognitive science. Outreach partners, including the Neuromatch Academy and the New York Hall of Science, will help inform the public of these new developments and teach critical skills to the next generation of students.
The U.S. Department of Defense, Office of the Undersecretary of Defense for Research and Engineering [DOD-OUSD (R&E)] is partnering with NSF to provide funding for this institute. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NATIONAL ARTIFICIAL INTELLIGENCE (AI) RESEARCH INSTITUTES", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22502
Grant Program (CFDA)
Awarding Agency
Funding Agency
Place of Performance
New York,
New York
10027-7922
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 4660% from $250,000 to $11,900,000.
The Trustees Of Columbia University In The City Of New York was awarded
ARNI: Advancing AI and Neuroscience Collaboration
Cooperative Agreement 2229929
worth $11,900,000
from the Division of Integrative Organismal Systems in June 2023 with work to be completed primarily in New York New York United States.
The grant
has a duration of 5 years and
was awarded through assistance program 47.074 Biological Sciences.
The Cooperative Agreement was awarded through grant opportunity National Artificial Intelligence (AI) Research Institutes.
Status
(Ongoing)
Last Modified 8/12/25
Period of Performance
6/1/23
Start Date
5/31/28
End Date
Funding Split
$11.9M
Federal Obligation
$0.0
Non-Federal Obligation
$11.9M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2229929
Additional Detail
Award ID FAIN
2229929
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
490808 DIV OF BIOLOGICAL INFRASTRUCTURE
Funding Office
490809 DIV OF INTEGRATIVE ORGANISMAL SYS
Awardee UEI
F4N1QNPB95M4
Awardee CAGE
1B053
Performance District
NY-13
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $4,000,000 | 100% |
Modified: 8/12/25