Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
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 generation of AI.
Cite
@article{arxiv.2210.08340,
title = {Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution},
author = {Anthony Zador and Sean Escola and Blake Richards and Bence Ölveczky and Yoshua Bengio and Kwabena Boahen and Matthew Botvinick and Dmitri Chklovskii and Anne Churchland and Claudia Clopath and James DiCarlo and Surya Ganguli and Jeff Hawkins and Konrad Koerding and Alexei Koulakov and Yann LeCun and Timothy Lillicrap and Adam Marblestone and Bruno Olshausen and Alexandre Pouget and Cristina Savin and Terrence Sejnowski and Eero Simoncelli and Sara Solla and David Sussillo and Andreas S. Tolias and Doris Tsao},
journal= {arXiv preprint arXiv:2210.08340},
year = {2023}
}
Comments
White paper, 10 pages + 8 pages of references, 1 figures