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Towards human-like and transhuman perception in AI 2.0: a review
Tian, Yong-hong1; Chen, Xi-lin2; Xiong, Hong-kai3; Li, Hong-liang4; Dai, Li-rong5; Chen, Jing1; Xing, Jun-liang; Chen, Jing7; Wu, Xi-hong1; Hu, Wei-min6; Hu, Yu5; Huang, Tie-jun1; Gao, Wen1
2017
发表期刊FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
卷号18期号:1页码:58-67
文章类型Review
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
WOS标题词Science & Technology ; Technology
DOI10.1631/FITEE.1601804
关键词[WOS]SPEECH RECOGNITION ; RECONSTRUCTION ; NETWORKS
收录类别SCI
语种英语
项目资助者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
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14401
专题模式识别国家重点实验室_视频内容安全
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
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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.
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