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An analysis of the effects of artificial intelligence on electric vehicle technology innovation using patent data
World Patent Information ( IF 2.2 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.wpi.2020.102002
Mekyung Lee

Abstract This study empirically analyzes the effects of artificial intelligence (AI) on electric vehicle technology innovation by employing a machine learning-based text mining model and the international patent classification (IPC) co-occurrence network analysis, using patent data filed from 1980 to 2017. Based on artificial intelligence algorithms classified, the study demonstrates the dynamic changing pattern of the convergence of artificial intelligence and electric vehicle technology and reveals how artificial intelligence has affected electric vehicle technology innovation over time. This study reveals that artificial intelligence accelerates the automation of electric vehicle driving, and that artificial intelligence algorithms that are widely used in electric vehicles have changed over time, and that technology areas of electric vehicles that AI affects also have been changed.

中文翻译:

基于专利数据的人工智能对电动汽车技术创新的影响分析

摘要 本研究采用基于机器学习的文本挖掘模型和国际专利分类 (IPC) 共现网络分析,利用 1980 年至 2017 年提交的专利数据,实证分析了人工智能 (AI) 对电动汽车技术创新的影响。该研究基于人工智能算法的分类,展示了人工智能与电动汽车技术融合的动态变化模式,揭示了人工智能如何随着时间的推移影响电动汽车技术创新。这项研究揭示了人工智能加速了电动汽车驾驶的自动化,电动汽车广泛使用的人工智能算法随着时间的推移而发生了变化,
更新日期:2020-12-01
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