Catalyzing next-generation Artificial Intelligence through NeuroAI
Cold Spring Harbor Laboratory · Columbia University · +19 more institutions
Abstract
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities - inherited from over 500 million years of evolution - that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next…
Citation impact
- FWCI
- 45.56
- Percentile
- 100%
- References
- 60
Authors
27- AMAnthony M. ZadorCorresponding
Cold Spring Harbor Laboratory
- GSG. Sean Escola
Columbia University
- BABlake A. Richards
Montreal Neurological Institute and Hospital, Ontario Brain Institute, Mila - Quebec Artificial Intelligence Institute, McGill University
- BPBence P. Ölveczky
Harvard University
- YBYoshua Bengio
Mila - Quebec Artificial Intelligence Institute
Topics & keywords
- Computer science
- Artificial intelligence
- Data science
Funding
- NSNational Science FoundationAwards: 2223827, DBI-1707400, IIS-1718991, 2124136, CCF-1231216, 1922658, CAREER, 1707400, 1231216, 1718991
- HHHoward Hughes Medical Institute
- SRSemiconductor Research Corporation
- JSJames S. McDonnell Foundation
- CICanadian Institute for Advanced Research
- LFLourie Foundation
- CSCold Spring Harbor Laboratory
- NINational Institutes of HealthAwards: 1R01MH125571, R01GM136972, 5U19NS104649, R01MH109556, U19NS123716
- DADefense Advanced Research Projects AgencyAwards: HR0011-18-2-0025, N00014-21-1-2801
- IAIntelligence Advanced Research Projects ActivityAward: D16PC00003
- MUMultidisciplinary University Research Initiative
- NSNatural Sciences and Engineering Research Council of CanadaAwards: 00031, RGPAS-2020-00031, RGPIN-2020, RGPIN-2020-05105
- OOOffice of Naval ResearchAwards: N00014-21-1-2801, MURI-114407, N00014
- NINational Institute of Neurological Disorders and StrokeAwards: R01NS099323, NS053603, 5U19NS104649