What is it about?
This paper presents a summary of mechanisms for the evolution of artificial intelligence in ‘internet of things’ networks. Firstly, the paper investigates how the use of new technologies in industrial systems improves organisational resilience supporting both a technical and human level. Secondly, the paper reports empirical results that correlate academic literature with Industry 4.0 interdependencies between edge components to both external and internal services and systems. The novelty of the paper is a new approach for creating a virtual representation operating as a real-time digital counterpart of a physical object or process (i.e., digital twin) outlined in a diagram.
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Why is it important?
Our research objective is to apply statistical methods on existing research records and to identify how artificial intelligence (AI), is evolving at the edge. With consideration of the above, our research focus was on AI integration in ‘cyber-psychical systems’ (CPS) that connect human–computer interactions. Our research emphasis was on conceptualisation of AI assimilation in ‘digital twins’ of CPS—that meets public acceptability, security standards, and legal scrutiny.
Perspectives
- From our analysis, it becomes clear that despite political turbulences, the US is closely coupled in the research collaboration network with China. - Furthermore, despite political and economic collaborations, that even include a joint research budget (Horizon 2020), the two leading European nations in terms of this research, the UK and Germany are not closely engaged in research collaborations on the topics of internet of things, cyber-physical systems and Industry 4.0. - Other findings from this study include an up-to-date overview of existing and emerging advancements in the field of I4.0, from academic literature and governmental initiatives.
Dr Petar Radanliev
University of Oxford
Read the Original
This page is a summary of: Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0, International Journal of Intelligent Robotics and Applications, May 2021, Springer Science + Business Media,
DOI: 10.1007/s41315-021-00180-5.
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