Your browser doesn't support javascript.
loading
Catalyzing next-generation Artificial Intelligence through NeuroAI.
Zador, Anthony; Escola, Sean; Richards, Blake; Ölveczky, Bence; Bengio, Yoshua; Boahen, Kwabena; Botvinick, Matthew; Chklovskii, Dmitri; Churchland, Anne; Clopath, Claudia; DiCarlo, James; Ganguli, Surya; Hawkins, Jeff; Körding, Konrad; Koulakov, Alexei; LeCun, Yann; Lillicrap, Timothy; Marblestone, Adam; Olshausen, Bruno; Pouget, Alexandre; Savin, Cristina; Sejnowski, Terrence; Simoncelli, Eero; Solla, Sara; Sussillo, David; Tolias, Andreas S; Tsao, Doris.
Afiliação
  • Zador A; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA. zador@cshl.edu.
  • Escola S; Department of Psychiatry, Columbia University, New York, NY, 10027, USA.
  • Richards B; Mila, Montréal, QC, H2S 3H1, Canada.
  • Ölveczky B; School of Computer Science, McGill University, Montreal, Canada.
  • Bengio Y; Montreal Neurological Institute, McGill University, Montreal, Canada.
  • Boahen K; Department of Neurology & Neurosurgery, McGill University, Montreal, Canada.
  • Botvinick M; Learning in Machines and Brains Program, CIFAR, Toronto, Canada.
  • Chklovskii D; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
  • Churchland A; Mila, Montréal, QC, H2S 3H1, Canada.
  • Clopath C; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
  • DiCarlo J; Google Deepmind, London, N1C 4AG, UK.
  • Ganguli S; Flatiron Institute, Simons Foundation, New York, NY, 10010, USA.
  • Hawkins J; Department of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
  • Körding K; Department of Bioengineering, Imperial College London, London, SW7 2BW, UK.
  • Koulakov A; Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, 02139, USA.
  • LeCun Y; Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
  • Lillicrap T; Numenta, Redwood City, CA, 94063, USA.
  • Marblestone A; Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Olshausen B; Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA.
  • Pouget A; Meta, Menlo Park, CA, 94025, USA.
  • Savin C; Department of Electrical and Computer Engineering, NYU, Brooklyn, NY, 11201, USA.
  • Sejnowski T; Google Deepmind, London, N1C 4AG, UK.
  • Simoncelli E; Media Lab, MIT, Cambridge, MA, 02140, USA.
  • Solla S; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, 94720, USA.
  • Sussillo D; Department of Basic Neurosciences, University of Geneva, Genève, 1211, Switzerland.
  • Tolias AS; Center for Neural Science, NYU, New York, NY, 10003, USA.
  • Tsao D; Salk Institute for Biological Studies, La Jolla, CA, 92037, USA.
Nat Commun ; 14(1): 1597, 2023 03 22.
Article em En | MEDLINE | ID: mdl-36949048
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 generation of AI.
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neurociências / Inteligência Artificial Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neurociências / Inteligência Artificial Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article