Catalyzing next-generation Artificial Intelligence through NeuroAI

被引：61

作者：

Zador, Anthony ^{[1
]}

Escola, Sean ^{[2
]}

Richards, Blake ^{[3
,4
,5
,6
,7
]}

Olveczky, Bence ^{[8
]}

Bengio, Yoshua ^{[3
]}

Boahen, Kwabena ^{[9
]}

Botvinick, Matthew ^{[10
]}

Chklovskii, Dmitri ^{[11
]}

Churchland, Anne ^{[12
]}

Clopath, Claudia ^{[13
]}

DiCarlo, James ^{[14
]}

Ganguli, Surya ^{[15
]}

Hawkins, Jeff ^{[16
]}

Kording, Konrad ^{[17
]}

Koulakov, Alexei ^{[1
]}

LeCun, Yann ^{[18
,19
]}

Lillicrap, Timothy ^{[10
]}

Marblestone, Adam ^{[20
]}

Olshausen, Bruno ^{[21
]}

Pouget, Alexandre ^{[22
]}

Savin, Cristina ^{[23
]}

Sejnowski, Terrence ^{[24
]}

Simoncelli, Eero ^{[25
,26
,27
]}

Solla, Sara ^{[28
]}

Sussillo, David ^{[18
,29
]}

Tolias, Andreas S. ^{[30
]}

Tsao, Doris ^{[21
]}

机构：

[1] Cold Spring Harbor Lab, Cold Spring Harbor, NY 11724 USA

[2] Columbia Univ, Dept Psychiat, New York, NY 10027 USA

[3] Mila, Montreal, PQ H2S 3H1, Canada

[4] McGill Univ, Sch Comp Sci, Montreal, PQ, Canada

[5] McGill Univ, Montreal Neurol Inst, Montreal, PQ, Canada

[6] McGill Univ, Dept Neurol & Neurosurg, Montreal, PQ, Canada

[7] CIFAR, Learning Machines & Brains Program, Toronto, ON, Canada

[8] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA

[9] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA

[10] Google Deepmind, London N1C 4AG, England

[11] Simons Fdn, Flatiron Inst, New York, NY 10010 USA

[12] Univ Calif Los Angeles, Dept Neurobiol, Los Angeles, CA 90095 USA

[13] Imperial Coll London, Dept Bioengn, London SW7 2BW, England

[14] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA

[15] Stanford Univ, Dept Appl Phys, Stanford, CA 94305 USA

[16] Numenta, Redwood City, CA 94063 USA

[17] Univ Penn, Dept Neurosci, Philadelphia, PA 19104 USA

[18] Meta, Menlo Pk, CA 94025 USA

[19] NYU, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA

[20] MIT, Media Lab, Cambridge, MA 02140 USA

[21] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA

[22] Univ Geneva, Dept Basic Neurosci, CH-1211 Geneva, Switzerland

[23] NYU, Ctr Neural Sci, New York, NY 10003 USA

[24] Salk Inst Biol Studies, La Jolla, CA 92037 USA

[25] NYU, Dept Neurol Sci, New York, NY 10003 USA

[26] NYU, Dept Math, New York, NY 10003 USA

[27] NYU, Dept Psychol, New York, NY 10003 USA

[28] Northwestern Univ, Dept Physiol, Chicago, IL 60611 USA

[29] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA

[30] Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA

来源：

NATURE COMMUNICATIONS | 2023年 / 14卷 / 01期

关键词：

NEURAL-NETWORKS; REINFORCEMENT; MODEL;

D O I：

10.1038/s41467-023-37180-x

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：7

共 50 条

[1] Catalyzing next-generation Artificial Intelligence through NeuroAI
Anthony Zador
Sean Escola
Blake Richards
Bence Ölveczky
Yoshua Bengio
Kwabena Boahen
Matthew Botvinick
Dmitri Chklovskii
Anne Churchland
Claudia Clopath
James DiCarlo
Surya Ganguli
Jeff Hawkins
Konrad Körding
Alexei Koulakov
Yann LeCun
Timothy Lillicrap
Adam Marblestone
Bruno Olshausen
Alexandre Pouget
Cristina Savin
Terrence Sejnowski
Eero Simoncelli
Sara Solla
David Sussillo
Andreas S. Tolias
Doris Tsao
[J]. Nature Communications, 14
[2] Opportunities for Next-Generation Luminescent Materials through Artificial Intelligence
Zhuo, Ya
Brgoch, Jakoah
[J]. JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2021, 12 (02): : 764 - 772
[3] Physical artificial intelligence (PAI): the next-generation artificial intelligence
Li, Yingbo
Li, Zhao
Duan, Yucong
Spulber, Anamaria-Beatrice
[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2023, 24 (08) : 1231 - 1238
[4] Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence
Park, Youngjun
Heider, Dominik
Hauschild, Anne-Christin
[J]. CANCERS, 2021, 13 (13)
[5] Artificial intelligence driven next-generation renal histomorphometry
Santo, Briana A.
Rosenberg, Avi Z.
Sarder, Pinaki
[J]. CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2020, 29 (03): : 265 - 272
[6] Surgery 3.0, artificial intelligence and the next-generation surgeon
Mirnezami, R.
Ahmed, A.
[J]. BRITISH JOURNAL OF SURGERY, 2018, 105 (05) : 463 - 465
[7] Supporting Diagnosis With Next-Generation Artificial Intelligence Reply
Adler-Milstein, Julia
Chen, Jonathan
Dhaliwal, Gurpreet
[J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2022, 327 (14): : 1400 - +
[8] Artificial Intelligence Control Logic in Next-Generation Programmable Networks
Zotkiewicz, Mateusz
Szalyga, Wiktor
Domaszewicz, Jaroslaw
Bak, Andrzej
Kopertowski, Zbigniew
Kozdrowski, Stanislaw
[J]. APPLIED SCIENCES-BASEL, 2021, 11 (19):
[9] Training Next-Generation Artificial Intelligence Users and Developers at NCSA
Katz, Daniel S.
Kindratenko, Volodymyr
Kindratenko, Olena
Mazumdar, Priyam
[J]. COMPUTING IN SCIENCE & ENGINEERING, 2023, 25 (06) : 28 - 32
[10] Artificial Intelligence Techniques for Next-Generation Massive Satellite Networks
Al Homssi, Bassel
Dakic, Kosta
Wang, Ke
Alpcan, Tansu
Allen, Ben
Boyce, Russell
Kandeepan, Sithamparanathan
Al-Hourani, Akram
Saad, Walid
[J]. IEEE COMMUNICATIONS MAGAZINE, 2024, 62 (04) : 66 - 72

← 1 2 3 4 5 →