Górriz, Juan M.Ramírez, JavierOrtíz, AndrésMartínez Murcia, Francisco J.Segovia, FerminSuckling, JohnLeming, MatthewZhang, Yu-DongÁlvarez Sánchez, RamónBologna, GuidoBonomini, PaulaEstévez Casado, FernandoCharte, DavidCharte, FranciscoContreras, RicardoCuesta Infante, AlfredoDuro, Richard J.Fernández Caballero, AntonioFernández Jover, EduardoGómez Vilda, PedroGraña, ManuelHerrera, FranciscoIglesias Rodríguez, RobertoLekova, AnnaLope, Javier deLópez Rubio, EzequielMartínez Tomás, RafaelMolina Cabello, Miguel A.Montemayor, Antonio S.Novais, PauloPalacios Alonso, DanielPantrigo, Juan J.Payne, Bryson R.Paz López, Félix de laPinninghoff, María AngélicaRincón, MarianoSantos, JoséThurnhofer Hemsi, KarlTsanas, AthanasiosVarela, RamiroFerrández, Jose M.2021-03-092022-06-022020Neurocomputing, Volume 410, 14 October 2020, Pages 237-2700925-2312http://hdl.handle.net/10347/24675Artificial 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 generaleng© 2020 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Artificial intelligence (AI)Machine learningDeep learningReinforcement learningEvolutionary computationOntologiesArtificial neural networks (ANNs)Big dataRoboticsNeuroscienceHuman–machine interactionVirtual realityEmotion recognitionComputational neuroethologyAutismDyslexiaAlzheimerParkinsonGlaucomaAI for social well-beingjournal article10.1016/j.neucom.2020.05.078open access