| 冯琬婧,徐 峰.北京市人工智能基础研究人才特征分析[J].全球科技经济瞭望,2020,35(12):48~57,67 |
| 北京市人工智能基础研究人才特征分析 |
| An Analysis of the Characteristics of Talents in Basic Research on Artificial Intelligence in Beijing |
| 投稿时间：2020-10-12 |
| DOI：10.3772/j.issn.1009-8623.2020.12.008 |
| 中文关键词: 人工智能；人才结构；核心作者；机构分布；共词分析 |
| 英文关键词: artificial intelligence; talent structure; core authors; institution distribution; co-word analysis |
| 基金项目:科技部科技创新战略研究专项“我国新一代人工智能应用模式与实施路径研究”（ZLY201808）。 |
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| 中文摘要: |
| 北京是我国人工智能发展的重要地区,汇集了全国最为丰富的人工智能人才资源。本文以北京市人工智能基础研究人才为研究对象，通过对其结构特征进行分析，在一定程度上了解我国人工智能基础研究人才队伍的现状。本文利用文献计量方法遴选出北京人工智能领域基础研究的核心人才，对其发文情况、核心作者结构、研究主题等方面进行了分析研究。结果显示，北京人工智能基础研究人才大多集聚在高校和科研院所，企业基础人才较少；大部分为30~50岁的中青年男性；研究方向聚焦于深度学习、神经网络、自适应控制、优化等多个研究主题。 |
| 英文摘要: |
| As an important area for the development of artificial intelligence in China, Beijing has the most abundant AI talent resources in China. This paper, taking the AI talents in Beijing as the research object, aims to reveal the status quo of domestic talents teams for basic AI research through analyzing their structures. In this paper, the bibliometric method was used to select the core talents of basic research in the artificial intelligence field in Beijing, and their papers, core-author structures and research topics were analyzed and studied. The research results showed that most of the basic research talents of artificial intelligence in Beijing are concentrated in universities and scientific research institutes, and there are few basic talents in enterprises; they are mainly young and middle-aged males aged 30-50; and they mainly focus on research topics such as deep learning, neural network, adaptive control, optimization, etc. |
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