TY  -  
T1  - Artificial intelligence : A powerful paradigm for scientific research 
SN  -  /  
UR  - http://hdl.handle.net/10138/340241 
T3  -  
A1  - Xu, Yongjun; Liu, Xin; Cao, Xin; Huang, Changping; Liu, Enke; Qian, Sen; Liu, Xingchen; Wu, Yanjun; Dong, Fengliang; Qiu, Cheng-Wei; Qiu, Junjun; Hua, Keqin; Su, Wentao; Wu, Jian; Xu, Huiyu; Han, Yong; Fu, Chenguang; Yin, Zhigang; Liu, Miao; Roepman, Ronald; Dietmann, Sabine; Virta, Marko; Kengara, Fredrick; Zhang, Ze; Zhang, Lifu; Zhao, Taolan; Dai, Ji; Yang, Jialiang; Lan, Liang; Luo, Ming; Liu, Zhaofeng; An, Tao; Zhang, Bin; He, Xiao; Cong, Shan; Liu, Xiaohong; Zhang, Wei; Lewis, James P.; Tiedje, James M.; Wang, Qi; An, Zhulin; Wang, Fei; Zhang, Libo; Huang, Tao; Lu, Chuan; Cai, Zhipeng; Wang, Fang; Zhang, Jiabao 
A2  -  
PB  -  
Y1  - 2021 
LA  - eng 
AB  - Y Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the ... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - artificial intelligence; machine learning; deep learning; information science; mathematics; medical science; materials science; geoscience; life science; physics; chemistry; NEURAL-NETWORKS; DEEP; IDENTIFICATION; OPTIMIZATION; NEUROSCIENCE; PREDICTION; ALGORITHM; SYMMETRY; CATALOG; MODELS; 113 Computer and information sciences 
N1  -   
PP  -  
ER  -