摘要
近年来,人工智能在基础研究、技术研发和产业应用方面均取得了快速发展,也对计算芯片提出了新的需求和挑战。深度学习算法需对海量数据进行训练,对大规模并行计算能力有很高的要求,而传统计算架构无法支撑大规模计算需求,因此新架构的AI芯片得以迅速发展。文章以专利文献为分析对象,从专利态势、专利来源国/地区、专利申请人、高价值专利四个角度对AI芯片及GPU、FPGA、CPLD等分支领域专利进行分析,揭示全球AI芯片专利技术布局态势和竞争格局,以期为我国人工智能及AI芯片技术研发布局提供情报参考和支撑。
In recent years,Artificial Intelligence has made rapid progress in R&D and industrial application,which has also put forward new demands and challenges for computing chips.Deep learning algorithms need to train massive data and have a high requirement on the ability of large-scale parallel computing.However,the traditional computing architecture cannot support the demand of large-scale computing,so the AI chip of the new architecture develops rapidly.Taking patent literature as the analysis object,this paper analyzes the patents of AI chip,GPU,FPGA and other sub-fields from four perspectives,namely,patent situation,country/region of origin,patent applicant and high-value patent,to reveal the global AI chip patent technology layout situation and competition pattern,and provide reference and support for China’s Artificial Intelligence and AI chip technology research and development layout.
作者
王燕鹏
吕璐成
张博
赵亚娟
钱力
Wang Yanpeng;Lyu Lucheng;Zhang Bo;Zhao Yajuan;Qian Li(National Science Library,Chinese Academy of Sciences,Beijing 100190,China)
出处
《科学观察》
2021年第2期57-71,共15页
Science Focus
基金
“2019年产业技术基础公共服务平台项目—面向人工智能基础技术及应用的检验检测基础服务平台建设”(项目编号:2019-00893-1-1)项目研究成果之一。