Artificial intelligence for science-bridging data to wisdom  

作　　者：Yongjun Xu Fei Wang Zhulin An Qi Wang Zhao Zhang 

机构地区：[1]Institute of Computing Technology,Chinese Academy of Sciences,Bejjing 100190,China

出　　处：《The Innovation》2023年第6期21-22,共2页创新（英文）

基　　金：National Natural Science Foundation of China under grants 62372430 and 62206266;Youth Innovation Promotion Association CAS under grant 2023112.

摘　　要：INTRODUCTION.Throughout the scientific discoveries of human history,research paradigms have undergone profound changes.'As shown in Figure 1,from the empirical paradigm,which relies on experimental observation,to the theoretical paradigm,which is based on theoretical deduction,and further to the computational para-digm,which is associated with simulation and emulation,and finally to the data-driven paradigm,which is grounded in human-machine object integration,every transformation of scientific paradigm has brought about a major leap in science and technology.

关 键 词：technology. FIGURE BRIDGING 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]