2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing, Lee, Jay, Su, Hanqi, Macchi, Marco, Polenghi, Adalberto, WU, WEI, Zhao, Zhiheng, Huang, George Q, Allgood, Kiva, Jain, Devendra, Gieger, Benedikt, Pandhare, Vibhor, Mohril, Ram, Kong, Lingbao, Kim, Sungjong, Park, Chan Hee, Youn, Byeng D, Goh, Guo D, Huang, Xi, Yeong, Wai Yee, Shin, Yung C, Zhang, He, Wang, Zitong, Tao, Fei, Singh Srai, Jagjit, Gupta, Satyandra, Sutherland, John W., Lee, Sang W, Fink, Olga, Ahmed, Faez, Chen, Wei (Wayne), Fuge, Mark, Kiritsis, Dimitris, Chen, Wei, Huan, Xun, Lin, Janet, Vogl, Gregory W, Ji, Dai-Yan, Minami, Takanobu
Authors
- Dai-Yan Ji (ORCID: https://orcid.org/0009-0009-6715-8105)
- Vibhor Pandhare (ORCID: https://orcid.org/0000-0002-1956-6165)
- Adalberto Polenghi (ORCID: https://orcid.org/0000-0002-3112-1775)
- Zhiheng Zhao (ORCID: https://orcid.org/0000-0002-0024-8116)
- Benedikt Gieger
- Jay Lee
- Hanqi Su (ORCID: https://orcid.org/0009-0008-6519-4236)
- Devendra Jain
- George Q Huang
- Marco Macchi
- Kiva Allgood
Institutions
- Northwestern University (US)
- University of Southern California (US)
- University of Seoul (KR)
- National Institute of Standards and Technology (US)
- Statistics Norway (NO)
- Seoul National University (KR)
- Hong Kong Polytechnic University (HK)
- Indian Institute of Technology Bombay (IN)
- Nanyang Technological University (SG)
- University of Oslo (NO)
- Luleå University of Technology (SE)
- Purdue University West Lafayette (US)
- University of Cambridge (GB)
- Fudan University (CN)
- University of Michigan (US)
- ETH Zurich (CH)
- IIT@MIT (US)
- École Polytechnique Fédérale de Lausanne (CH)
- Indian Institute of Technology Indore (IN)
- University of Maryland, College Park (US)
- Beijing International Studies University (CN)
- World Economic Forum (CH)
- Beihang University (CN)
- Sungkyunkwan University (KR)
- Texas A&M University (US)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Machine Learning Engineering
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1088/3049-4761/ae5967
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- U.S. Department of Education
- Impact Fund
- University of Southern California
- Northwestern University
- European Commission
- National Research Foundation
- National Research Foundation Singapore
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Ministry of Trade, Industry and Energy
- National Research Foundation of Korea
- Fundación Para La Innovación Y La Prospectiva En Salud En España
- Innovation and Technology Fund
- Indian Institute of Technology Indore
- Ministry of Science and ICT, South Korea
- HORIZON EUROPE Framework Programme