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Information × Registration Number 0225U003754, (0125U000005) , R & D reports Title Development of optimized artificial intelligence algorithms for Internet of Things applications in the socio-economic domain popup.stage_title Розроблення оптимізованих алгоритмів штучного інтелекту для прикладних застосувань Інтернету речей в соціально-економічній сфері Head Maksymiuk Taras A., Доктор технічних наук Registration Date 13-08-2025 Organization Maksymiuk Taras A. popup.description1 The aim of this research is to enhance the efficiency of digital infrastructure functioning in the socio-economic domain by implementing innovative artificial intelligence algorithms within the information and communication systems of the Internet of Things. This includes enabling seamless interaction between various devices and systems, while ensuring the reliability and transparency of the decision-making process. popup.description2 The research aims to implement the concept of Ukraine's digital transformation through the comprehensive integration of advanced information and communication technologies, artificial intelligence methods, large language models, and the Internet of Things. Methods for optimizing artificial intelligence algorithms have been proposed and validated, enabling their effective use in industrial systems with limited computational resources. Based on experimental studies, the high efficiency of the developed methods for fine-tuning large language models and reinforcement learning with human feedback for the development of explainable artificial intelligence and its adaptation to real-world socio-economic applications was demonstrated. A method has been developed for integrating artificial intelligence algorithms into distributed intelligent information and communication systems using federated learning, ensuring high levels of data privacy, reducing communication infrastructure load, and improving model accuracy through aggregated experience from multiple edge devices. Furthermore, a method for integrating mixed reality technologies has been proposed and tested for remote control of industrial systems, incorporating biometric authentication through real-time facial recognition. This significantly enhances adaptability and responsiveness in dynamic environments. The proposed methods bring a solid foundation for effective digital transformation in Ukraine, aligned with contemporary trends of Society 5.0. Product Description popup.authors Maksymiuk Taras A. popup.nrat_date 2025-08-13 Close