Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world

Kuai, Hongzhi and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Zhong, Ning (2022) Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world. World Wide Web, 25. pp. 1223-1241. ISSN 1386-145X


Abstract

Understanding human intelligence, especially brain intelligence, is the cornerstone of reaching the ultimate AI. In this paper, we briefly review the historical interactions between AI and brain science, and look towards the future vision of AI in the connected world. In particular, we introduce two rapidly developing fields in Web Intelligence (WI, AI in the Connected World) and Brain Informatics (BI, the brain/mind-centric study and the application of brain-machine intelligence), and combine them to accelerate the arrival of a human–level AI society. Furthermore, combining these two fields by connecting AI and brain science with big data, creates a new vision from the systematic brain-machine intelligence research to new AI industry chain in the connected social-cyber-physical-thinking spaces.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Mathematics, Physics and Computing (1 Jan 2022 -)
Date Deposited: 12 May 2022 01:26
Last Modified: 22 Jun 2022 02:38
Uncontrolled Keywords: Brain computing; Brain Informatics; General intelligence model; Human-level AI; Web Intelligence
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460899 Human-centred computing not elsewhere classified
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence
Identification Number or DOI: https://doi.org/10.1007/s11280-022-01030-5
URI: http://eprints.usq.edu.au/id/eprint/48451

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