ZHU Mengjiao, DU Yanyong. Research on the Status of Artificial Intelligence Reasoning Technology: A Case Study of China and the United States and Their Key Enterprises[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(3): 51-66. doi: 10.19979/j.cnki.issn10082689.2024120062
Citation: ZHU Mengjiao, DU Yanyong. Research on the Status of Artificial Intelligence Reasoning Technology: A Case Study of China and the United States and Their Key Enterprises[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(3): 51-66. doi: 10.19979/j.cnki.issn10082689.2024120062

Research on the Status of Artificial Intelligence Reasoning Technology: A Case Study of China and the United States and Their Key Enterprises

doi: 10.19979/j.cnki.issn10082689.2024120062
  • Received Date: 2024-12-11
    Available Online: 2025-04-10
  • Publish Date: 2025-06-01
  • China and the United States are the two countries with the most patent applications in artificial intelligence (AI) field. Reasoning is the core and foundation of AI technology, and we can grasp the level of key capabilities of AI in the two countries by studying the progress of this technology. The essential fact of AI reasoning lies in simulating or recreating the procession of thinking. It programs human behavioral habits and decision-making processes, as well as the nodes and processes of events. The number of academic papers and patent applications of AI reasoning in China has exceeded that of the United States since 2021. However, judging from the patent applications and authorizations of six key companies, including Baidu, Huawei, Tencent from China, IBM, Microsoft and Google from the US, Chinese companies have not outperformed American companies. Chinese companies have been digging deep at knowledge reasoning, autonomous driving, and real-time traffic analysis. Companies from the US have obtained many patent grants in cutting-edge fields such as cognitive models, neural reasoning, architecture, power grids, and human-computer interaction. In addition to continuing to consolidate the existing advantages in automatic systems and control, voice recognition, etc., it is also necessary for Chinese companies to broaden the scope of technology research and development, make up for the shortcomings of the scope of patent technology protection and geographical layout, thus get closer to the forward-looking orientation in policy planning.

     

  • [1]
    Office of Science and Technology Policy White House. Critical-and-Emerging-Technologies-List-2024-Update [EB/OL]. (2024-02-12) [2024-08-15]. https://www.whitehouse.gov/wp-content/uploads/2024/02/Critical-and-Emerging-Technologies-List-2024-Update.pdf.
    [2]
    吴飞,韩亚洪,李玺,等. 人工智能中的推理:进展与挑战[J]. 中国科学基金,2018(3):262-265.
    [3]
    尹宏鹏. 人工智能基础 [M]. 重庆:重庆大学出版社,2023.
    [4]
    国务院关于印发新一代人工智能发展规划的通知[EB/OL]. (2017-07-20) [2024-08-15]. https://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.
    [5]
    Defense Advanced Research Projects Agency USA. Department Of Defense Fiscal Year (Fy) 2025 Budget Estimates [EB/OL]. (2024-02-12) [2024-08-15]. https://Comptroller.Defense.Gov/Portals/45/Documents/Defbudget/Fy2025/Budget_Justification/Pdfs/03_Rdt_And_E/Rdte_Vol1_Darpa_Masterjustificationbook_Pb_2025.Pdf.
    [6]
    国标委联. 国家新一代人工智能标准体系建设指南[EB/OL]. (2020-07-27) [2025-01-17]. https://www.miit.gov.cn/n1146285/n1146352/n3054355/n3057497/n3057502/c8048365/part/8048381.pdf.
    [7]
    The White House. U. S. Government National Standards Strategy For Critical And Emerging Technologies (USG NSSCET):Implementation Roadmap [EB/OL]. (2024-07-26) [2025-01-17]. https://www.whitehouse.gov/wp-content/uploads/2024/07/USG-NSSCET_Implementation_Rdmap_v7_23.pdf.
    [8]
    RUSEK K,KLESZCZ A & CABELLOS-APARICIO A. Bayesian inference of spatial and temporal relations in AI patents for EU countries [J]. Scientometrics,2023:3313-3335.
    [9]
    宇文乐薇,王旭嘉,李德生. 基于专利布局的中日人工智能技术竞争分析[J]. 科技创业月刊,2024,37(5):46-54. doi: 10.3969/j.issn.1672-2272.202404047
    [10]
    杨依依. 人工智能产业专利转让网络演化的影响因素研究[J]. 技术与市场,2024,31(6):11-20. doi: 10.3969/j.issn.1006-8554.2024.06.002
    [11]
    王海军,于佳文. 基于专利和微博的颠覆性技术主题识别研究——以人工智能领域为例[J]. 中国科技论坛,2024(7):83-94,109.
    [12]
    杨锡怡,贾佳,周小宇,等. 中美两国人工智能头部企业研发和创新的比较分析与启示[J]. 中国科学院院刊,2024,39(6):1084-1096.
    [13]
    邢晓昭,任亮,雷孝平,等. 基于专利主题演化的颠覆性技术识别研究——以类脑智能领域为例[J]. 情报科学,2023,41(3):81-88.
    [14]
    邢晓昭,苑朋彬,陈亮,等. 面向技术识别的专利实体抽取——以类脑智能领域为例[J]. 情报杂志,2024,43(6):126-133,144. doi: 10.3969/j.issn.1002-1965.2024.06.018
    [15]
    王志娟,彭宣维. 知识表征研究——过往与前瞻[J]. 北京科技大学学报(社会科学版),2021,37(5):526-533. doi: 10.3969/j.issn.1008-2689.2021.05.009
    [16]
    刁大明,奚千涵. 特朗普及其第二任期涉外团队的对华倾向与政策影响[J]. 国际展望,2025(1):23-45,176-177.
    [17]
    张全. 特朗普为加征关税计划铺路?[N/OL]. 解放日报 (2025-01-10) [2025-01-17]. https://www.jfdaily.com/staticsg/res/html/journal/detail.html?date=2025-01-10&id=411037&page=08.
    [18]
    林晓昕,肖莹. 拜登政府以来美国人工智能政策回顾[J]. 中国信息安全,2024(9):87-92.
  • Relative Articles

    [1]HUANG Jingqiu, DENG Bojun. Research on the Ethical Regulation of Artificial Intelligence Algorithms[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2025, 41(2): 88-96. doi: 10.19979/j.cnki.issn10082689.2024030082
    [2]LIU Wei-jie, YUE Zong-lu. Practical Challenges and Countermeasures of Ideological and Political Education Enabled by Artificial Intelligence[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2023, 39(2): 188-194. doi: 10.19979/j.cnki.issn10082689.2022100102
    [3]LIU Wen-bo. Identity of Floating Population: Literature Review and Research Prospect[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2021, 37(3): 299-306.
    [4]YU Miao-miao. Research on the Influence of Human Capital on Employment in Modern Service Industry in the Era of Artificial Intelligence[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2020, 36(2): 82-88.
    [5]QIN Si, WANG Yong. Systemic Functional Approach to Chinese Clauses: Review on the 25th Symposium on Functional Linguistics and Discourse Analysis&the 2nd Symposium on Functional Linguistics and Chinese Language[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2019, 35(1): 38-43.
    [6]BI Cheng. Why Artificial Intelligence Can Not Replace Human Beings?—On the Technical Essence of Artificial Intelligence[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2019, 35(2): 102-108.
    [7]BI Xue-cheng. The Focus and Trend of China's Economic History Study Since China's Reform and Opening Up[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2019, 35(3): 75-81.
    [8]JIANG Ting, YANG Yin-hua. Ecological Analysis of Popular Science Articles on Artificial Intelligence[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2019, 35(6): 1-9.
    [9]LIN Mei-zhen. Trends and Frontiers of China's Ecolinguistics Studies: A Bibliometric Analysis Based on CNKI Database[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2017, 33(6): 31-39.
    [10]QIAN Zhen-hua, LIU Jia-hua. Research on the Safety of Genetically Modified Foods in China Based on the Perspective of Scientometrics[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2016, 32(2): 67-79.
    [11]LONG Jing-jing. The Research Summary of the Flipped Classroom[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2016, 32(6): 113-118.
    [12]LU Yi-fang, LAN Jin-hui. The Experimental Reform of Instrument Science and Technology[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2014, 30(3): 109-118.
    [13]WANG Fan-mei, LI Xiao-jing. The Educational Ideas and Thougts in the Internationalization: a Study Based on the Literature Analysis——With the English Management Courses as Examples[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2014, 30(6): 100-108.
    [14]DENG Shuang-lin. On Construction of Systematic Thinking in the University Art Education——A Perspective of Appreciation of Film Music[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2012, 28(3): 150-154.
    [15]HE Wei, MA Rui-zhi. An Overview of Studies of Modern Chinese Temporal System[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2011, 27(1): 19-27.
    [16]SUN Min-jie, CAO Xin-ming. Patent Co-ownership——Economic Analysis of Transaction and License[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2011, 27(4): 116-119.
    [17]CHEN Ming-fang. Criticism in Academic Discourse Literature Review across the Disciplines[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2011, 27(2): 17-22.
    [18]WANG Zhen. Sharing Benefit of Gene Patent[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2007, 23(2): 92-95.
    [19]JIN Yong-jun. Are E-bank Related Business Methods Patent Object?[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2004, 20(2): 48-53.
    [20]YAN Fei. Primary Systematic Discussion of Service Management[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2002, 18(4): 88-91.
  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-042025-05020406080
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 24.2 %FULLTEXT: 24.2 %META: 71.6 %META: 71.6 %PDF: 4.2 %PDF: 4.2 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 3.2 %其他: 3.2 %Matawan: 1.1 %Matawan: 1.1 %上海: 8.4 %上海: 8.4 %北京: 8.4 %北京: 8.4 %十堰: 1.1 %十堰: 1.1 %南京: 2.1 %南京: 2.1 %哥伦布: 2.1 %哥伦布: 2.1 %嘉兴: 1.1 %嘉兴: 1.1 %宁波: 1.1 %宁波: 1.1 %宣城: 1.1 %宣城: 1.1 %广州: 2.1 %广州: 2.1 %张家口: 1.1 %张家口: 1.1 %扬州: 2.1 %扬州: 2.1 %昆明: 1.1 %昆明: 1.1 %杭州: 1.1 %杭州: 1.1 %沧州: 1.1 %沧州: 1.1 %淄博: 2.1 %淄博: 2.1 %温州: 1.1 %温州: 1.1 %漯河: 5.3 %漯河: 5.3 %石家庄: 6.3 %石家庄: 6.3 %芒廷维尤: 15.8 %芒廷维尤: 15.8 %芝加哥: 6.3 %芝加哥: 6.3 %襄阳: 1.1 %襄阳: 1.1 %西宁: 8.4 %西宁: 8.4 %邯郸: 1.1 %邯郸: 1.1 %郑州: 12.6 %郑州: 12.6 %阳泉: 2.1 %阳泉: 2.1 %其他Matawan上海北京十堰南京哥伦布嘉兴宁波宣城广州张家口扬州昆明杭州沧州淄博温州漯河石家庄芒廷维尤芝加哥襄阳西宁邯郸郑州阳泉

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(10)

    Article Metrics

    Article views (67) PDF downloads(4) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return