CLC number: TP391
On-line Access: 2017-01-20
Received: 2016-12-12
Revision Accepted: 2016-12-26
Crosschecked: 2016-12-26
Cited: 2
Clicked: 8536
Yong-hong Tian, Xi-lin Chen, Hong-kai Xiong, Hong-liang Li, Li-rong Dai, Jing Chen, Jun-liang Xing, Jing Chen, Xi-hong Wu, Wei-min Hu, Yu Hu, Tie-jun Huang, Wen Gao. Towards human-like and transhuman perception in AI 2.0: a review[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(1): 58-67.
@article{title="Towards human-like and transhuman perception in AI 2.0: a review",
author="Yong-hong Tian, Xi-lin Chen, Hong-kai Xiong, Hong-liang Li, Li-rong Dai, Jing Chen, Jun-liang Xing, Jing Chen, Xi-hong Wu, Wei-min Hu, Yu Hu, Tie-jun Huang, Wen Gao",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="1",
pages="58-67",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601804"
}
%0 Journal Article
%T Towards human-like and transhuman perception in AI 2.0: a review
%A Yong-hong Tian
%A Xi-lin Chen
%A Hong-kai Xiong
%A Hong-liang Li
%A Li-rong Dai
%A Jing Chen
%A Jun-liang Xing
%A Jing Chen
%A Xi-hong Wu
%A Wei-min Hu
%A Yu Hu
%A Tie-jun Huang
%A Wen Gao
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 1
%P 58-67
%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601804
TY - JOUR
T1 - Towards human-like and transhuman perception in AI 2.0: a review
A1 - Yong-hong Tian
A1 - Xi-lin Chen
A1 - Hong-kai Xiong
A1 - Hong-liang Li
A1 - Li-rong Dai
A1 - Jing Chen
A1 - Jun-liang Xing
A1 - Jing Chen
A1 - Xi-hong Wu
A1 - Wei-min Hu
A1 - Yu Hu
A1 - Tie-jun Huang
A1 - Wen Gao
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 1
SP - 58
EP - 67
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1601804
Abstract: 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.
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