Arti cial intelligence within the interplay between natural and arti cial Computation: advances in data science, trends and applications Gorriz Sáez, Juan Manuel Ramírez Pérez De Inestrosa, Javier Segovia Román, Fermín Charte Luque, Francisco David Herrera Triguero, Francisco Arti cial intelligence (AI) Machine learning Deep learning Reinforcement learning Evolutionary computation Ontologies Arti cial neural networks (ANNs) Big data Data fusion Robots Neuroscience Human-machine interaction Virtual reality Emotion recognition Computational neuroethology Electroencephalography (EEG) Mobile EEG Brain-computer interface (BCI) Connectivity Body pose and motion estimation Heart-rate variability Gait Speaking Gaming Neuroacoustical stimulation Instability phonation Autism Dyslexia Alzheimer Parkinson Ischemia Glaucoma AI for social well-being Education Home care Assistance 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. 2022-11-16T08:23:48Z 2022-11-16T08:23:48Z 2020-05-26 info:eu-repo/semantics/article Górriz, JM... [et al.]. 2020, 'Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications', Neurocomputing, vol. 410, pp. 237-270. [https://doi.org/10.1016/j.neucom.2020.05.078] https://hdl.handle.net/10481/77987 10.1016/j.neucom.2020.05.078 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier