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Towards Industrial Foundation Models: Framework, Key Issues and Potential Applications
Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing, P.R. China.
Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing, P.R. China.
University of Chinese Academy of Science, School of Economics and Management, Beijing, P.R. China.
Beijing Institute of Technology, School of Cyberspace Science and Technology, Beijing, P.R. China.
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2024 (English)In: Proceedings of the 2024 27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 3269-3274Conference paper, Published paper (Refereed)
Abstract [en]

Foundation models have demonstrated remarkable capabilities in various tasks such as natural language processing, content generation, and complex reasoning and have the potential to spark new technology and application revolutions in the industrial domain. However, Industrial Foundation Models (IFMs) remain almost unexplored, and the industrial sector has domain-specific issues and challenges to address when harnessing the capabilities of foundation models. Therefore, we introduce the concept and construction paradigm of IFMs and propose a 5-dimensional general framework of the IFMs. Moreover, we present the key research issues and technologies of IFMs and discuss some advanced and potential industrial applications. We hope this paper can serve as a useful resource for researchers seeking to innovate within the domain of IFMs.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 3269-3274
Keywords [en]
deep learning, foundation models, industrial foundation models
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-351508DOI: 10.1109/CSCWD61410.2024.10580089ISI: 001290434603060Scopus ID: 2-s2.0-85199096011OAI: oai:DiVA.org:kth-351508DiVA, id: diva2:1891052
Conference
27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, Tianjin, China, May 8 2024 - May 10 2024
Note

Part of ISBN 9798350349184

QC 20241209

Available from: 2024-08-21 Created: 2024-08-21 Last updated: 2024-12-09Bibliographically approved

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Wang, Lihui

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