Artículo
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Górriz, Juan M.; Ramírez, Javier; Ortíz, Andrés; Martínez Murcia, Francisco J.; Segovia, Fermin; Suckling, John; Leming, Matthew; Zhang, Yu Dong; Álvarez Sánchez, Jose Ramón; Bologna, Guido; Bonomini, Maria Paula
; Casado, Fernando E.; Charte, David; Charte, Francisco; Contreras, Ricardo R; Cuesta Infante, Alfredo; Duro, Richard J.; Fernández Caballero, Antonio; Fernández Jover, Eduardo; Gómez Vilda, Pedro; Graña, Manuel; Herrera, Francisco; Iglesias, Roberto; Lekova, Anna; de Lope, Javier; López Rubio, Ezequiel; Martínez Tomás, Rafael; Molina Cabello, Miguel A.; Montemayor, Antonio S.; Novais, Paulo; Fernández Vicente, José Manuel
Fecha de publicación:
10/2020
Editorial:
Elsevier Science
Revista:
Neurocomputing
ISSN:
0925-2312
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
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.
Palabras clave:
AI FOR SOCIAL WELL-BEING
,
ALZHEIMER
,
ARTIFICIAL INTELLIGENCE (AI)
,
ARTIFICIAL NEURAL NETWORKS (ANNS)
,
AUTISM
,
BIG DATA
,
COMPUTATIONAL NEUROETHOLOGY
,
DEEP LEARNING
,
DYSLEXIA
,
EMOTION RECOGNITION
,
EVOLUTIONARY COMPUTATION
,
GLAUCOMA
,
HUMAN–MACHINE INTERACTION
,
MACHINE LEARNING
,
NEUROSCIENCE
,
ONTOLOGIES
,
PARKINSON
,
REINFORCEMENT LEARNING
,
ROBOTICS
,
VIRTUAL REALITY
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IAM)
Articulos de INST.ARG.DE MATEMATICAS "ALBERTO CALDERON"
Articulos de INST.ARG.DE MATEMATICAS "ALBERTO CALDERON"
Citación
Górriz, Juan M.; Ramírez, Javier; Ortíz, Andrés; Martínez Murcia, Francisco J.; Segovia, Fermin; et al.; Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications; Elsevier Science; Neurocomputing; 410; 10-2020; 237-270
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Górriz, J. M.; Álvarez Illán, I.; Álvarez Marquina, A.; Arco, J. E.; Atzmueller, M.; Ballarini, Fabricio Matias ; Barakova, E.; Bologna, G.; Bonomini, Maria Paula ; Castellanos Dominguez, G.; Castillo Barnes, D.; Cho, S. B.; Contreras, R.; Cuadra, J. M.; Domínguez, E.; Domínguez Mateos, F.; Duro, R. J.; Elizondo, D.; Fernández Caballero, A.; Fernández Jover, Eduardo; Formoso, M. A.; Gallego Molina, N. J.; Gamazo, J.; García González, J.; Garcia Rodriguez, J.; Wang, W.; Zhang, Y. D.; Zhu, H.; Zhu, Z.; Ferrández Vicente, J. M. (Elsevier Science, 2023-12)