机器学习技术发展现状与国际竞争分析

The Development Status and International Competition Analysis of Machine Learning

[目的/意义]机器学习作为人工智能的关键核心技术,受到了前所未有的重视和快速发展。深入研究其发展现状和竞争格局,有助于为企业战略和相关产业政策制定提供科学决策依据。[方法/过程]基于DII数据库和WOS数据库,从发展阶段、热点与核心领域识别、竞争国家对比三方面,对该技术领域发展现状、竞争格局进行了分析。[结果/结论]机器学习技术处于快速成长期,我国目前也处于快速发展期;我国在技术结构布局上存在短板;美国的专利活动最强,我国也属于技术活跃者;美国的专利质量最高,我国与其相差较大;互联网企业是重要推动力量;热点领域有智能诊断、自动驾驶仪、教育辅助、语音识别、计算机视觉等;核心领域有排序、学习、知识处理、搜索、模糊逻辑系统、专家系统等。

[Purpose/Significance]As the key technology and basic industry for the Artificial Intelligence,Machine Learning receives unprecedented attention and rapid development.Thorough research on its technology trend and competitive posture will provide a scientific basis for the decision making of both relevant industry policies and business strategies.[Methods/Processes]Based on Derwent innovations index and Web of science database,this paper used patent statistical analysis,bibliometric analysis and social network analysis methods to analyze development status of this technology field from three aspects:the technology development stage,the core and hot technology field identification and the comparative analysis of major competitive countries,in order to clarify the strengths and weaknesses of China,and explore future development opportunities.Finally,based on the comprehensive analysis,this paper proposed corresponding countermeasures and suggestions for technological research and development,market layout and industrial development in the field of machine learning in China.[Results/Conclusion]Machine learning technology was in a rapid growth period,and China was also in a period of rapid development;there were shortcomings in the layout of technology structure in China;the United States had the strongest patent activity,and China was also a technology activist;the United States had the highest patent quality,and China was quite different from it;Internet companies were an important driving forces;the hotspots included intelligent diagnosis,autopilot,education aid,speech recognition,computer vision,and so on;the core areas included sequencing,learning,knowledge processing,search,fuzzy logic systems,and expert systems,and so on.