2022
DOI: 10.1007/s11280-022-01030-5
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Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world

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Cited by 8 publications
(2 citation statements)
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“…Timely, the development of WI can be divided into three significant stages of WI 1.0 (Wisdom Web [11], 2001-2009), WI 2.0 (Wisdom Web of Thing [12], 2010-2017), and WI 3.0 (Wisdom Web of Everything [4], since 2018). While WI further evolves in the 3.0 era, many new ideas, methodologies, and techniques will continue to emerge with the contributions of all the researchers in the field.…”
Section: Introductionmentioning
confidence: 99%
“…Timely, the development of WI can be divided into three significant stages of WI 1.0 (Wisdom Web [11], 2001-2009), WI 2.0 (Wisdom Web of Thing [12], 2010-2017), and WI 3.0 (Wisdom Web of Everything [4], since 2018). While WI further evolves in the 3.0 era, many new ideas, methodologies, and techniques will continue to emerge with the contributions of all the researchers in the field.…”
Section: Introductionmentioning
confidence: 99%
“…In response to this, the Brain Informatics (Zhong et al, 2011) methodology has been proposed to study the mechanisms underlying the human information processing system with big data (Zhong et al, 2005). As the core part of Brain Informatics, a series of "evidence combination-fusion computing (ECFC)" methods (Kuai et al, 2022) are developed to promote fundamental and translational studies of the brain, encouraging to handle multi-source brain big data continuously during learning and validating phases of models and systems. The continuous learning enables the more effective utilization of existing information and experiences learned by previous data, which are different from the current most machine learning algorithms.…”
Section: Introductionmentioning
confidence: 99%