摘要
在当今数字化和智能化的时代背景下,人工智能(artificial intelligence,AI)已成为科技创新的重要引擎,总结探讨AI研究的最新趋势和未来发展方向具有重要的研究和现实意义.为此,对2021—2023年间在中国计算机学会(CCF)推荐的AI领域CCF-A类国际会议和期刊所发表论文的研究成果进行收集,并在此基础上采用文献计量学的方法论来通过关键词对研究热点进行分析,进行基于高频关键词分析研究热点、基于新增关键词分析研究趋势、基于引用量加权的关键词分析高影响力研究,可以梳理AI研究的主流方向、发现AI主要研究方向的相互联系和交叉融合的特点.此外,对当前研究热点如大语言模型(large language model,LLM)、AI驱动的科学研究(AI for Science)和视觉生成相关论文的关联热点进行分析,可以挖掘技术路径和方法论的演变,展现技术创新背后的科学理论和应用前景,从而进一步揭示AI研究的最新趋势和发展前景.
In current era,marked by advancements and achievements made in digital and intelligent fields,artificial intelligence(AI)has emerged as a pivotal engine driving technological innovation,which indicates encapsulating and examining the latest trends and future trajectories in AI research makes sense on the development of future AI research.This can be implemented by collecting the research outcomes during recent three years from top-tier international conferences and journals in the field of AI that are recommended by the China Computer Federation(CCF-A category),introducing keyword-centric analyses based on a bibliometric methodologies,and analyzing research hotspots based on high-frequency keywords,discerning emerging trends through newly-added keywords,identifying high-impact studies using citation-weighted keyword analysis.The result of these analyses,which contains significant information about trends in AI research,can enable the principal directions of AI research to be delineated and the interconnections and integrative fusion within mainstream AI research directions to be unveiled.Moreover,an in-depth exploration of the current hot topics,such as large language models(LLMs),AI-driven scientific research(AI for Science)and visual generation technologies,would help us reveal the underlying scientific theories and application prospects behind these technological innovations,thereby the latest trends and future trajectories in AI field get demonstrated more adequately and concretely.
作者
魏子舒
韩越
刘思浩
张圣宇
吴飞
Wei Zishu;Han Yue;Liu Sihao;Zhang Shengyu;Wu Fei(College of Computer Science and Technology,Zhejiang University,Hangzhou 310013)
出处
《计算机研究与发展》
EI
CSCD
北大核心
2024年第5期1261-1275,共15页
Journal of Computer Research and Development
关键词
人工智能
研究热点
关键词
统计分析
数据挖掘
artificial intelligence
research hotspots
keyword
statistical analysis
data mining