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Catalyzing next-generation Artificial Intelligence through NeuroAI
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 se...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033876/ https://www.ncbi.nlm.nih.gov/pubmed/36949048 http://dx.doi.org/10.1038/s41467-023-37180-x |
| _version_ | 1784911083548442624 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Zador, Anthony |
| collection | PubMed |
| description | 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. |
| format | Online Article Text |
| id | pubmed-10033876 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-100338762023-03-24 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 Nat Commun Perspective 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. Nature Publishing Group UK 2023-03-22 /pmc/articles/PMC10033876/ /pubmed/36949048 http://dx.doi.org/10.1038/s41467-023-37180-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Perspective 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 Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title | Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title_full | Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title_fullStr | Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title_full_unstemmed | Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title_short | Catalyzing next-generation Artificial Intelligence through NeuroAI |
| title_sort | catalyzing next-generation artificial intelligence through neuroai |
| topic | Perspective |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033876/ https://www.ncbi.nlm.nih.gov/pubmed/36949048 http://dx.doi.org/10.1038/s41467-023-37180-x |
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