From Brain Science to Artificial Intelligence

Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expectations, an insurmountable gap remains be...

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Bibliographic Details
Published inEngineering (Beijing, China) Vol. 6; no. 3; pp. 248 - 252
Main Authors Fan, Jingtao, Fang, Lu, Wu, Jiamin, Guo, Yuchen, Dai, Qionghai
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2020
Department of Automation, Tsinghua University, Beijing 100084, China%Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
Elsevier
Subjects
Artificial intelligence
Brain science
Brain science
Artificial intelligence
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Summary:Reviewing the history of the development of artificial intelligence (AI) clearly reveals that brain science has resulted in breakthroughs in AI, such as deep learning. At present, although the developmental trend in AI and its applications has surpassed expectations, an insurmountable gap remains between AI and human intelligence. It is urgent to establish a bridge between brain science and AI research, including a link from brain science to AI, and a connection from knowing the brain to simulating the brain. The first steps toward this goal are to explore the secrets of brain science by studying new brain-imaging technology; to establish a dynamic connection diagram of the brain; and to integrate neuroscience experiments with theory, models, and statistics. Based on these steps, a new generation of AI theory and methods can be studied, and a subversive model and working mode from machine perception and learning to machine thinking and decision-making can be established. This article discusses the opportunities and challenges of adapting brain science to AI.
ISSN:2095-8099
DOI:10.1016/j.eng.2019.11.012