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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	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
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	IOP Publishing 2026-01-01
سلاسل:	Machine Learning. Engineering
الموضوعات:	smart manufacturing artificial intelligence machine learning digital twin industry 4.0 industrial large knowledge model
الوصول للمادة أونلاين:	https://doi.org/10.1088/3049-4761/ae5967
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!