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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
Instability phonation, Autism, Artificial neural networks (ANNs), Computational neuroethology, Evolutionary computation, Artificial intelligence (AI), Home care, Virtual reality, Education, Dyslexia, Gaming, Big data, Ischemia, Neuroacoustical stimulation, Machine learning, Reinforcement learning, Arti cial intelligence (AI), Ontologies, Mobile EEG, Parkinson, Electroencephalography (EEG), Gait, Connectivity, Brain-computer interface (BCI), Assistance, AI for social well-being, Deep learning, Glaucoma, Robotics, Data fusion, Human–machine interaction, Heart-rate variability, Human-machine interaction, Speaking, Alzheimer, Emotion recognition, Arti cial neural networks (ANNs), Robots, Body pose and motion estimation, Neuroscience
Instability phonation, Autism, Artificial neural networks (ANNs), Computational neuroethology, Evolutionary computation, Artificial intelligence (AI), Home care, Virtual reality, Education, Dyslexia, Gaming, Big data, Ischemia, Neuroacoustical stimulation, Machine learning, Reinforcement learning, Arti cial intelligence (AI), Ontologies, Mobile EEG, Parkinson, Electroencephalography (EEG), Gait, Connectivity, Brain-computer interface (BCI), Assistance, AI for social well-being, Deep learning, Glaucoma, Robotics, Data fusion, Human–machine interaction, Heart-rate variability, Human-machine interaction, Speaking, Alzheimer, Emotion recognition, Arti cial neural networks (ANNs), Robots, Body pose and motion estimation, Neuroscience
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 219 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
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