Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01069 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/bioconf/20248601069 | |
Published online | 12 January 2024 |
AI Evolution in Industry 4.0 and Industry 5.0: An Experimental Comparative Assessment
1 Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
2 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007
3 Lovely Professional University Phagwara, Punjab, India
4 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana
5 K R Mangalam University, Gurgaon, India
* Corresponding author: DmitrievaEI@gic.mgsu.ru
This paper provides a thorough analysis of the development of artificial intelligence (AI) in the context of Industry 4.0 and the soon-to-be Industry 5.0. Important conclusions come from the data, such as the startling 900% increase in AI applications between 2010 and 2018, which corresponds to a 60% rise in the proportion of industrial enterprises using AI at that time. Moreover, our analysis shows that Industry 4.0's AI integration has resulted in a notable 200% cost reduction and a cumulative 400% boost in production efficiency. Our study delves into the rapid deployment of critical technologies like 5G connectivity and quantum computing within the framework of Industry 5.0. The usage of 5G connectivity has increased by 200% in only two years, while quantum computing has seen a staggering 1000% growth in acceptance over the course of eight years. These findings demonstrate the fast technological transition occurring in Industry 5.0. Furthermore, by 2033, the research predicts a startling 400% increase in human-machine cooperation and an anticipated 133% decrease in mistake rates. The research highlights how Industry 4.0's deep consequences of AI development and Industry 5.0's revolutionary possibilities will impact manufacturing in the future.
Key words: technological adoption / Industry 4.0 / Industry 5.0 / artificial intelligence / human-machine cooperation
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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