人工智能
领域(数学)
计算机科学
机器人学
人工智能应用
数据科学
人工智能系统
机器人
纯数学
数学
作者
J. M. Górriz,Javier Ramı́rez,Andrés Ortíz,Francisco J. Martínez-Murcia,F. Segovia,John Suckling,Matthew Leming,Yudong Zhang,José R. Álvarez,Guido Bologna,Paula Bonomini,Fernando E. Casado,David Charte,Francisco Charte,Ricardo Contreras,Alfredo Cuesta‐Infante,Richard J. Duro,Antonio Fernández‐Caballero,Eduardo Fernández-Jover,Pedro Gómez‐Vilda
出处
期刊:Neurocomputing
[Elsevier BV]
日期:2020-06-02
卷期号:410: 237-270
被引量:303
标识
DOI:10.1016/j.neucom.2020.05.078
摘要
Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in artificial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.
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