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Description
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In the rapidly evolving field of Industry 4.0, Digital Twins (DT) have emerged as transformative tools for emulating, simulating, analysing, and optimising complex systems. However, it is only when Artificial Intelligence (AI) is integrated into the process that their full potential is realised, enabling high levels of integration (brought by IOT (data gathering)) and processing of diverse, multidimensional data streams. This special issue explores AI-driven techniques that empower digital twins to move beyond static representations, becoming adaptive, predictive, and deeply insightful models of real-world entities. Whether in manufacturing, industry of the future, enterprise systems, or beyond, it invites readers to discover how AI is reshaping the future of digital twinning-bringing them closer to a world where the physical and digital coexist in synchronicity. It explores the synergies between AI and DT, focusing on how AI-driven information integration and processing can enhance the functionality, accuracy and application of digital twins across different industries. This hot topic is highlighted by the rapid advancements in AI and the increasing adoption of digital twin technology across various sectors. The several possibilities of endeavouring AI for digital twins is a cutting-edge topic that addresses current challenges and opportunities in these research fields (2026-03-01)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1016/j.jii.2026.101066 for the original and latest version of the dataset and data downloads*** (2026-06-04)
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