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作 者:Zhiyi Liu
机构地区:[1]Eastmoney Information Co.,Ltd.,Shanghai 200235,China
出 处:《Journal of Electronic Research and Application》2024年第5期174-178,共5页电子研究与应用
摘 要:This article explores the key role of intelligent computing in driving the paradigm shift of scientific discovery.The article first outlines the five paradigms of scientific discovery,from empirical observation to theoretical models,then to computational simulation and data intensive science,and finally introduces intelligent computing as the core of the fifth paradigm.Intelligent computing enhances the ability to understand,predict,and automate scientific discoveries of complex systems through technologies such as deep learning and machine learning.The article further analyzes the applications of intelligent computing in fields such as bioinformatics,astronomy,climate science,materials science,and medical image analysis,demonstrating its practical utility in solving scientific problems and promoting knowledge development.Finally,the article predicts that intelligent computing will play a more critical role in future scientific research,promoting interdisciplinary integration,open science,and collaboration,providing new solutions for solving complex problems.
关 键 词:Fifth paradigm General artificial intelligence Intelligent computing
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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