Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Artículo de revista 2020

Juan M.Górriz, Javier Ramírez, Andrés Ortíz, Francisco Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José álvarez-Sánchez, Guido Bologna, Paula Bonomini, Fernando Casado, David Charte, Francisco Charte Ojeda, Ricardo Contreras, Alfredo Infante, Richard Duro, Antonio Caballero, Eduardo Jover, Pedro Vilda, Manuel Graña, Francisco Herrera Triguero, Roberto Iglesias, Anna Lekova, Javier de Lope, Ezequiel Rubio, Rafael Tomás, Miguel Molina-Cabello, Antonio Montemayor, Paulo Novais, Daniel Palacios-Alonso, Juan Pantrigo, Bryson Payne, Félix López, María Pinninghoff, Mariano Rincón, José Santos, Karl Thurnhofer-Hemsi, Athanasios Tsanas, Ramiro Varela, Jose Ferrández

NeurocomputingVolumen 410Páginas 237-270

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M.Górriz, J., Ramírez, J., Ortíz, A., Martínez-Murcia, F. J., Segovia, F., Suckling, J., … Ferrández, J. M. (2020). Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing, 410, 237-270. https://doi.org/10.1016/j.neucom.2020.05.078
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Resumen

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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DOI
10.1016/j.neucom.2020.05.078
Notas

TIN2017-85827-P; RTI2018-098913-B-I00; PSI2015-65848-R; PGC2018-098813-B-C31; PGC2018-098813-B-C32; RTI2018-101114-B-I; TIN2017-90135-R; RTI2018-098743-B-I00; RTI2018-094645-B-I00; FPU15/06512; FPU17/04154; FJCI-2017-33022; UMA18-FEDERJA-084; ED431C2017/12; ED431G/08; ED431C2018/29; Y2018/EMT-5062; ED431F2018/02; U01 AG024904; W81XWH-12-2-0012