Current status of AI large model technology and industrial ecology research
Artificial Intelligence (AI) is revolutionizing the current industrial landscape in a novel way, gradually capturing our attention. This article provides an in-depth discussion of the background, key technologies, and industrial ecology of AI large models. It traces the development history of AI large models from their origins to their current applications and focuses on analyzing the core technologies that support their operation, including encoders and self-attention mechanisms. Furthermore, the article explores how AI large models can be applied across various industries to foster innovation in fields such as smart healthcare and smart cities, thereby jointly promoting the sustainable development of AI.
Authors
- Xunwei Wang
- K Fan (ORCID: https://orcid.org/0009-0002-4396-0960)
- Wan Cao (ORCID: https://orcid.org/0009-0002-8883-6453)
- Qinghua Zhang (ORCID: https://orcid.org/0000-0002-9707-4051)
- Fei Wang (ORCID: https://orcid.org/0000-0002-5213-4399)
- Peilin Zhu
- Y Niu
- S Zhao (ORCID: https://orcid.org/0009-0002-3419-1231)
Institutions
- China Mobile (China) (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1145/3714334.3714349
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00