2026 roadmap on artificial intelligence and machine learning for smart manufacturing

The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing (SM) by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, the deployment of AI and ML in industrial settings still faces critical chal...

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Hlavní autoři:	Jay Lee, Hanqi Su, Marco Macchi, Adalberto Polenghi, Wei Wu, Zhiheng Zhao, George Q Huang, Kiva Allgood, Devendra Jain, Benedikt Gieger, Vibhor Pandhare, Soumyabrata Bhattacharjee, Ram Mohril, Lingbao Kong, Qiyuan Wang, Xinlan Tang, Sungjong Kim, Chan Hee Park, Byeng D Youn, Guo Dong Goh, Xi Huang, Wai Yee Yeong, Yung C Shin, He Zhang, Zitong Wang, Fei Tao, Jagjit Singh Srai, Satyandra K Gupta, Byung Gun Joung, Albin John, John W Sutherland, Sang Won Lee, Olga Fink, Vinay Sharma, Faez Ahmed, Wei ‘Wayne’ Chen, Mark Fuge, Arild Waaler, Martin G Skjæveland, Dimitris Kyritsis, Wei Chen, Vispi Nevile Karkaria, Yi-Ping Chen, Ying-Kuan Tsai, Joseph Cohen, Xun Huan, Jing (Janet) Lin, Liangwei Zhang, Gregory W Vogl, Aaron W Cornelius, Xiaodong Jia, Dai-Yan Ji, Takanobu Minami, Ruoxin Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2026-01-01
Edice:	Machine Learning. Engineering
Témata:	smart manufacturing artificial intelligence machine learning digital twin industry 4.0 industrial large knowledge model
On-line přístup:	https://doi.org/10.1088/3049-4761/ae5967
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

2026 roadmap on artificial intelligence and machine learning for smart manufacturing

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