Towards human-like and transhuman perception in AI 2.0: a review

doi:10.1631/FITEE.1601804

	Towards human-like and transhuman perception in AI 2.0: a review
	Tian, Yong-hong 1; Chen, Xi-lin 2; Xiong, Hong-kai 3; Li, Hong-liang 4; Dai, Li-rong 5; Chen, Jing 1; Xing, Jun-liang ; Chen, Jing 7; Wu, Xi-hong 1; Hu, Wei-min 6; Hu, Yu 5; Huang, Tie-jun 1; Gao, Wen 1
	2017
发表期刊	FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
ISSN	2095-9184
卷号	18 期号:1 页码:58-67
摘要	Perception is the interaction interface between an intelligent system and the real world. Without sophisticated and flexible perceptual capabilities, it is impossible to create advanced artificial intelligence (AI) systems. For the next-generation AI, called 'AI 2.0', one of the most significant features will be that AI is empowered with intelligent perceptual capabilities, which can simulate human brain's mechanisms and are likely to surpass human brain in terms of performance. In this paper, we briefly review the state-of-the-art advances across different areas of perception, including visual perception, auditory perception, speech perception, and perceptual information processing and learning engines. On this basis, we envision several R&D trends in intelligent perception for the forthcoming era of AI 2.0, including: (1) human-like and transhuman active vision; (2) auditory perception and computation in an actual auditory setting; (3) speech perception and computation in a natural interaction setting; (4) autonomous learning of perceptual information; (5) large-scale perceptual information processing and learning platforms; and (6) urban omnidirectional intelligent perception and reasoning engines. We believe these research directions should be highlighted in the future plans for AI 2.0.
关键词	Intelligent perception Active vision Auditory perception Speech perception Autonomous learning
DOI	10.1631/FITEE.1601804
收录类别	SCI
语种	英语
资助项目	Strategic Consulting Research Project of Chinese Academy of Engineering[2016-ZD-04-03]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号	WOS:000394541200005
出版者	ZHEJIANG UNIV
引用统计	被引频次：28[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7448
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Huang, Tie-jun
作者单位	1.Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China 4.Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 611730, Peoples R China 5.Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Peoples R China 6.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 7.Beijing Inst Technol, Sch Optoelect, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Tian, Yong-hong,Chen, Xi-lin,Xiong, Hong-kai,et al. Towards human-like and transhuman perception in AI 2.0: a review[J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,2017,18(1):58-67.
APA	Tian, Yong-hong.,Chen, Xi-lin.,Xiong, Hong-kai.,Li, Hong-liang.,Dai, Li-rong.,...&Gao, Wen.(2017).Towards human-like and transhuman perception in AI 2.0: a review.FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING,18(1),58-67.
MLA	Tian, Yong-hong,et al."Towards human-like and transhuman perception in AI 2.0: a review".FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING 18.1(2017):58-67.