Detalhes bibliográficos
| Resumo: | 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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| Autores principais: | Górriz, Juan M. |
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| Outros Autores: | Ramírez, Javier; Ortíz, Andrés; Martínez-Murcia, Francisco J.; Segovia, Fermin; Suckling, John; Leming, Matthew; Zhang, Yu Dong; Álvarez-Sánchez, Jose Ramón; Bologna, Guido; Bonomini, Paula; Casado, Fernando E.; Charte, David; Charte, Francisco; Contreras, Ricardo; 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; Palacios-Alonso, Daniel; Pantrigo, Juan J.; Payne, Bryson R.; de la Paz López, Félix; Pinninghoff, María Angélica; Rincón, Mariano; Santos, José; Thurnhofer-Hemsi, Karl; Tsanas, Athanasios; Varela, Ramiro; Ferrández, Jose M. |
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| Assunto: | 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 |
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| Ano: | 2020 |
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| País: | Portugal |
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| Tipo de documento: | artigo |
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| Tipo de acesso: | acesso restrito |
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| Instituição associada: | Universidade do Minho |
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| Idioma: | inglês |
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| Origem: | RepositóriUM - Universidade do Minho |
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