Artificial intelligence, machine learning, and deep learning for enhancing resilience in industry 4.0, 5.0, and society 5.0

Industry 4.0, 5.0, as well as Society 5.0, is a period of the new era’s revolutions when artificial intelligence (AI), machine learning (ML), and deep learning (DL) become the tools of improving and ensuring resilience in different spheres. The current research focuses on the operation, urban, psychological, cyber, supply chain, and social resilience. Resilience is a powerful tool in the modern context, and AI-based systems help to build capacities and reduce negative impacts. Operational and production resilience can be achieved with the help of ML systems designed for predictive maintenance and anomaly detection. These tools allow reducing downtime, estimating changes properly, and making timely decisions to optimize the production process and increase the level of productivity. At the same time, cybersecurity applications become more sophisticated with the introduction of advanced ML technologies. In the context of supply chain resilience, AI and ML become essential parts of predictive analytics which enables to anticipate possible disruptions, manage logistics, and optimize quantities and loci of needed items. Smart manufacturing systems with AI make production processes more adaptive and flexible, which is crucial in the situation of current challenges. Society 5.0 cannot exist without social resilience, and it is realized with the help of AI, for example, in managing strategies aimed at disaster management, healthcare, or designing cities. Real-time data analytics and innovative intelligent systems can be developed with the help of AI even in those spheres where human intervention has always been considered crucial. In addition, DL helps to design autonomous systems that are crucial for increasing resilience in transportation and logistics processes.