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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
Source PublicationFRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
2017
Volume18Issue:1Pages:58-67
SubtypeReview
AbstractPerception 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.
KeywordIntelligent Perception Active Vision Auditory Perception Speech Perception Autonomous Learning
WOS HeadingsScience & Technology ; Technology
DOI10.1631/FITEE.1601804
WOS KeywordSPEECH RECOGNITION ; RECONSTRUCTION ; NETWORKS
Indexed BySCI
Language英语
Funding OrganizationStrategic Consulting Research Project of Chinese Academy of Engineering(2016-ZD-04-03)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS IDWOS:000394541200005
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14401
Collection模式识别国家重点实验室_视频内容安全
Affiliation1.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
Recommended Citation
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.
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