世界人工智能研究储量及技术热点分析——基于2013~2018年SCIE高质量数据

The Study on the AI Research Storage and Technology Hotspots——Based on SCIE High Quality Data from 2013 to 2018

新一代人工智能持续引发全球政界、学术界和产业界的高度关注。本文以科学引文索引数据库2013~2018年收录的33460篇高质量文献作为研究对象,对世界人工智能研究的发文趋势、储量分布、技术热点、产研融合等方面进行知识图谱分析。研究发现,人工智能高质量发文量呈现整体上升趋势,中国、美国和英国的知识储量全球领先;关键词热点包括神经网络、分类算法、遗传算法、特征选择、支持向量机、聚类算法、数据挖掘、深度学习等;产业界以微软、IBM、谷歌研发实力最为深厚,其中,微软与中国地区学术合作较多。

The new generation of artificial intelligence continues to attract high attention from global politics,academia and industry.This paper analyzes the world’s artificial intelligence research in terms of publishing trends,reserves distribution,technology hotspots,integration of production and research,etc.The data sources are 33460 high-quality documents collected by the SCI from 2013 to 2018.The study found that the number of high-quality articles has shown an overall upward trend,with China,the United States and Britain leading the world.Key word hotspots include neural network,classification algorithm,genetic algorithm,feature selection,support vector machine,clustering algorithm,data mining,deep learning,etc.Related cutting-edge technologies are divided into seven categories.Microsoft,IBM and Google have the most profound research and development capabilities in the industry,and Microsoft cooperates more with China in academic research.