NSF AI Institute for ARtificial and Natural Intelligence
Collaborating with academic and industry partners across the U.S., Columbia researchers will work to connect the major progress made in AI systems to the revolution in our understanding of the brain

ARNI is a collaboration between Columbia, Baylor College of Medicine, City University of New York, Harvard, Princeton, Howard Hughes Medical Institute, Mila Quebec AI Institute, Tuskegee University, the University of Pennsylvania, and UTHealth Houston. Industry partners include Amazon, DeepMind, Google, IBM, and Meta, and outreach partners include the Neuromatch Academy and the New York Hall of Science. In addition to receiving NSF funding, ARNI is funded by a partnership between NSF and the Office of the Under Secretary of Defense for Intelligence and Security (R&E).
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Our Collaborators
Baylor College of Medicine
- Ankit Patel
- Andreas Tolias
Carnegie Mellon University
- Xaq Pitkow
City University of New York
- Tatiana Aloi Emmanouil
- Sarah Levitan
- Tony Ro
- David Schwab
Columbia University
- Larry Abbott
- Elias Bareinboim
- David Blei
- John Patrick Cunningham
- Sean Escola
- Stefano Fusi
- Julia Hirschberg
- Elias Issa
- Samory Kpotufe
- Niko Kriegeskorte
- Ashok Litwin-Kumar
- Kathleen McKeown
- Nima Mesgarani
- Ken Miller
- Liam Paninski
- Christos Papadimitriou
- Toniann Pitassi
- Jessie Taft
- Zenna Tavares
- Eric Vieira
- Carl Vondrick
- Richard Zemel
Harvard University
- Bence Olveczky
Howard Hughes Medical Institute (HHMI)
- Ann Hermundstad
- Vivek Jayaraman
- Sandro Romani
- Srini Turaga
Neuromatch
- Nick Harper
New York Hall of Science
- Dorothy Bennett
Princeton University
- Tom Griffiths
Tuskegee University
- Nafiseh Ebrahimi
- Dewan Noor
Université de Montréal; Mila
- Yoshua Bengio
- Blake Richards
University of Pennsylvania
- Vijay Balasubramanian
- Pratik Chaudhari
- Josh Gold
- Jianbo Shi
- Alan Stocker
UT Health Science Center - Houston
- Nitin Tandon
Yale University
- John Lafferty
- John Murray
Learn More
Join ARNI
ARNI seeks highly qualified candidates for Postdoctoral Research Fellow positions, starting in Summer or Fall 2023.