Arti cial intelligence within the interplay between natural and arti cial Computation: advances in data science, trends and applications

Abstract

Arti cial 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 arti cial intelligence within the interplay between natural and arti cial computation. A review of recent works published in the latter eld and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in arti cial 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 elds covered in the essay, from theoretical models in arti cial intelligence and machine learning to the most prospective applications in robotics, neuroscience, brain computer interfaces, medicine and society, in general.