FidoNet and Generative AI: A New Approach to Museumification of Historical Content Resources

被引:0
|
作者
Burov, Vasiliy [1 ]
Soshnikov, Dmitry [2 ]
机构
[1] Estonto Lab, Yerevan, Armenia
[2] Estonto Lab, Astana, Kazakhstan
来源
2023 8TH IEEE HISTORY OF ELECTROTECHNOLOGY CONFERENCE, HISTELCON | 2023年
关键词
FidoNet; echos; echomail; newsgroups; content representation; user generated content; UCG; machine learning; large language model; LLM; generative AI; artificial intelligence; ChatGPT; GPT model; virtual museum; cybernetic immortality;
D O I
10.1109/HISTELCON56357.2023.10365937
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
This report considers the problem of visual representation of historical content resources based on user-generated content for museumification of the most important information resources in the history of digital networks development. The paper proposes an approach based on generative AI and shows its implementation in relation to FidoNet.
引用
收藏
页码:129 / 132
页数:4
相关论文
共 50 条
  • [21] A Novel Approach to Predict Moisture Content on Wood Using AI
    Magalhaes, Vitor Mendes
    Lucca, Giancarlo
    Asmus, Tiago
    de Lima Bicho, Alessandro
    Borges, Eduardo N.
    ENTERPRISE INFORMATION SYSTEMS, ICEIS 2023, PT I, 2024, 518 : 266 - 288
  • [22] Designing and Generating Lesson Plans combining Open Educational Content and Generative AI
    Bucchiarone, Antonio
    Cicchetti, Antonio
    Vazquez-Ingelmo, Andrea
    Adami, Filippo
    Schiavo, Gianluca
    Garcia-Holgado, Alicia
    Garcia-Penalvo, Francisco Jose
    ACM/IEEE 27TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS: COMPANION PROCEEDINGS, MODELS 2024, 2024, : 78 - 86
  • [23] China's ' s Interim Measures on generative AI: Origin, content and significance
    Migliorini, Sara
    COMPUTER LAW & SECURITY REVIEW, 2024, 53
  • [24] Adoption of Generative AI in content creation: A case study from the advertising industry
    Dinh Thi Chinh Nguyet
    2024 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI 2024, 2024, : 111 - 112
  • [25] Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach☆
    Yoon, Sang-Hyeak
    Yang, Sung-Byung
    Lee, So-Hyun
    ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2025, 70
  • [26] Generative AI Tool Pipeline for Creating Artificial Historical Characters for Cultural Heritage XR
    Gemeinhardt, Jan
    Zoellner, Michael
    Jahn, Celina
    HCI INTERNATIONAL 2024 POSTERS, PT III, HCII 2024, 2024, 2116 : 41 - 46
  • [27] Generative AI, Synthetic Contents, Open Educational Resources (OER), and Open Educational Practices (OEP): A New Front in the Openness Landscape
    Bozkurt, Aras
    OPEN PRAXIS, 2023, 15 (03): : 178 - 184
  • [28] Schumacher in the age of generative AI: Towards a new critique of technology
    Berry, David M.
    Stockman, James
    EUROPEAN JOURNAL OF SOCIAL THEORY, 2024, 27 (03) : 437 - 455
  • [29] Old Threats, New Name? Generative AI and Visual Journalism
    Matich, Phoebe
    Thomson, T. J.
    Thomas, Ryan J.
    JOURNALISM PRACTICE, 2025,
  • [30] HotspotFusion: A Generative AI Approach to Predicting CMP Hotspot in Semiconductor Manufacturing
    Hsiao, Hsiu-Hui
    Wang, Kung-Jeng
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2025, 38 (01) : 73 - 82