TY - JOUR
T1 - Artificial intelligence within the interplay between natural and artificial computation
T2 - Advances in data science, trends and applications
AU - Górriz, Juan M.
AU - Ramírez, Javier
AU - Ortíz, Andrés
AU - Martínez-murcia, Francisco J.
AU - Segovia, Fermin
AU - Suckling, John
AU - Leming, Matthew
AU - Zhang, Yu-dong
AU - Álvarez-sánchez, Jose Ramón
AU - Bologna, Guido
AU - Bonomini, Paula
AU - Casado, Fernando E.
AU - Charte, David
AU - Charte, Francisco
AU - Contreras, Ricardo
AU - Cuesta-infante, Alfredo
AU - Duro, Richard J.
AU - Fernández-caballero, Antonio
AU - Fernández-jover, Eduardo
AU - Gómez-vilda, Pedro
AU - Graña, Manuel
AU - Herrera, Francisco
AU - Iglesias, Roberto
AU - Lekova, Anna
AU - De Lope, Javier
AU - López-rubio, Ezequiel
AU - Martínez-tomás, Rafael
AU - Molina-cabello, Miguel A.
AU - Montemayor, Antonio S.
AU - Novais, Paulo
AU - Palacios-alonso, Daniel
AU - Pantrigo, Juan J.
AU - Payne, Bryson R.
AU - De La Paz López, Félix
AU - Pinninghoff, María Angélica
AU - Rincón, Mariano
AU - Santos, José
AU - Thurnhofer-hemsi, Karl
AU - Tsanas, Athanasios
AU - Varela, Ramiro
AU - Ferrández, Jose M.
PY - 2020/10/14
Y1 - 2020/10/14
N2 - 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.
AB - 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.
U2 - 10.1016/j.neucom.2020.05.078
DO - 10.1016/j.neucom.2020.05.078
M3 - Article
SN - 0925-2312
VL - 410
SP - 237
EP - 270
JO - Neurocomputing
JF - Neurocomputing
ER -