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全球人工智能科学领域专利信息计量分析及其启示
引用本文:李玉华,张福俊,尹燕霞,卢昱波.全球人工智能科学领域专利信息计量分析及其启示[J].科技管理研究,2020,40(21):154-162.
作者姓名:李玉华  张福俊  尹燕霞  卢昱波
作者单位:山东科技大学计算机科学与工程学院,山东青岛266590;山东科技大学图书馆,山东青岛266590;山东科技大学基建处,山东青岛266590
摘    要:基于智慧芽专利数据库收录的人工智能领域相关专利信息,运用专利信息计量方法对专利数据进行全球专利申请趋势、地域分布格局、关键技术领域以及主要专利权人分布统计,深入研究全球人工智能技术发展现状和竞争格局,为中国创新引导政策和企业发展战略的制定提供决策参考。中国在人工智能领域专利申请量较多,产品研发技术发展迅速,但基础算法领域相对薄弱,核心竞争力较发达国家仍有一定差距。因此建议中国在保持现有产品优势的前提下,加大对硬件、算法及芯片等基础层面的研究,同时推动人工智能与能源等其他行业的融合转化,加快推进专利布局和人才引进战略。

关 键 词:人工智能  专利分析  竞争格局  关键技术
收稿时间:2019/12/12 0:00:00
修稿时间:2020/3/18 0:00:00

Quantitative analysis of patent information in the field of global artificial intelligence science and its inspiration
Abstract:Based on the patent information in the field of artificial intelligence included in the wisdom bud patent database, the patent information measurement method is used to perform patent statistics on global patent application trends, geographical distribution patterns, key technology areas, and distribution statistics of major patentees. The current situation and competitive landscape provide decision-making references for the formulation of China''s innovation-led policies and corporate development strategies. China has a large number of patent applications in the field of artificial intelligence, and its product research and development technology has developed rapidly, but its basic algorithm field is relatively weak, and its core competitiveness still has a certain gap compared with developed countries. Therefore, it is suggested that China, on the premise of maintaining the advantages of existing products, increase research on basic levels such as hardware, algorithms, and chips, and promote the integration and transformation of artificial intelligence and other industries such as energy, and accelerate the promotion of patent layout and talent introduction strategies.
Keywords:Artificial intelligence  patent analysis  competitive landscape  key technologies  
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