Application of Artificial Intelligence Technology in Product Design

被引:0
|
作者
Nozaki, Naoyuki [1 ]
Konno, Eiichi [1 ]
Sato, Mitsuru [1 ]
Sakairi, Makoto [1 ]
Shibuya, Toshiyuki [2 ]
Kanazawa, Yuuji [2 ]
Georgescu, Serban [3 ]
机构
[1] Fujitsu Adv Technol Ltd, Tokyo, Japan
[2] Fujitsu Labs Ltd, Kawasaki, Kanagawa, Japan
[3] Fujitsu Labs Europe Ltd, Hayes, England
来源
关键词
CLOUD;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Artificial intelligence (Al) technology applied to product design in Monozukuri (Japanese way of manufacturing) aims to provide computerized support to various tasks in developing products that currently rely on human experience. As the conventional approach, in which knowledge and rules are explicitly given, has its limit, new technologies based on machine learning have been recognized as important in research and development of Al. Applying machine learning that predicts data to be acquired in the future with a certain accuracy, we can obtain efficient and less -variable judgment and eliminate conventional work depended on personal knowledge or experience. In order to apply Al technology to a product development environment, MONOZUKURI Al framework was developed on the cloud as a system to facilitate efficient collection of product development data, and, at the same time, for managing and leveraging learning models extracted from such data. By connecting this framework with Flexible Technical Computing Platform (FTCP), Fujitsu's integrated development platform, this new design development environment will provide various design tools on a platform with new, enhanced design-assisting features. This paper describes various cases in which machine learning is applied to designing, and presents our plan to introduce it into an integrated development platform.
引用
收藏
页码:43 / 51
页数:9
相关论文
共 50 条
  • [31] Application of Artificial Intelligence in Digital Design of Substation
    Xiong, Zaibao
    Ma, Zhongkun
    Li, Yunwei
    Wang, Lin
    Gao, Yu
    Du, Shaofei
    Ding, Ding
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 5809 - 5813
  • [32] Application of Artificial Intelligence Technology in Medical Cell Biology
    Fu, Xiao
    2019 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2019), 2019, : 401 - 404
  • [33] The Application of Artificial Intelligence Technology in Ideological and Political Education
    Xu, Chao
    Wu, Lin
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (01) : 982 - 993
  • [34] Discussion on the Application of Artificial Intelligence in Computer Network Technology
    Yao, Ganghua
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016), 2016, 50 : 905 - 907
  • [35] Research on the Development and Application of Artificial Intelligence Technology in Games
    Li, Liu-jun
    2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018), 2018, 307 : 433 - 436
  • [36] The Application of Artificial Intelligence Technology in Shipping: A Bibliometric Review
    Xiao, Guangnian
    Yang, Daoqi
    Xu, Lang
    Li, Jinpei
    Jiang, Ziran
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (04)
  • [37] Research on Application of Artificial Intelligence in Computer Network Technology
    Wang, Qingjun
    Lu, Peng
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (05)
  • [38] Practical Application of Artificial Intelligence Technology in Glaucoma Diagnosis
    Gong, Di
    Hu, Man
    Yin, Yue
    Zhao, Tong
    Ding, Tong
    Meng, Fan
    Xu, Yongli
    Chen, Yi
    JOURNAL OF OPHTHALMOLOGY, 2022, 2022
  • [39] The Application of Artificial Intelligence Technology in the Diagnosis of Acute Pancreatitis
    Lin, Yuan-Ping
    Lin, Chung-Chih
    2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-PARIS), 2019, : 244 - 248
  • [40] Application of artificial intelligence technology in typhoon monitoring and forecasting
    Zhou, Guanbo
    Fang, Xiang
    Qian, Qifeng
    Lv, Xinyan
    Cao, Jie
    Jiang, Yuan
    FRONTIERS IN EARTH SCIENCE, 2022, 10