https://altumnova.com/index.php/tsir <p>Technical Science Integrated Research (ISSN 3051-3855) is a peer-reviewed academic journal dedicated to the publication of original research, theoretical studies, and practical developments in the broad field of technical sciences. The journal seeks to bridge diverse disciplines such as engineering, applied physics, computer science, materials science, and industrial technologies by fostering an integrated approach to solving contemporary scientific and technical challenges. Emphasizing interdisciplinary collaboration and innovative methodologies, the journal provides a platform for scholars, practitioners, and industry experts to present advancements that contribute to the development of effective, sustainable, and technologically-driven solutions. With a focus on both fundamental investigations and real-world applications, Technical Science Integrated Research aims to support scientific excellence and encourage the translation of research findings into impactful technologies and systems across various sectors.</p> en-US Technical Science Integrated Research 3051-3855 https://altumnova.com/index.php/tsir/article/view/33 The rapid integration of artificial intelligence (AI) into production systems has profoundly reshaped the foundations of economic organization and productivity in the digital era. This article examines how AI-driven automation, predictive analytics, intelligent scheduling, and cyber-physical integration influence production efficiency across industries. Drawing on empirical studies, sectoral evidence, and theoretical models, the research demonstrates that AI enhances productivity not merely by replacing routine labor but by reconfiguring value-creation processes, optimizing resource allocation, and reducing system-level inefficiencies. The study also highlights the complexities associated with AI adoption, including capability gaps, algorithmic dependencies, and structural asymmetries between technologically advanced and technologically lagging firms. By synthesizing global and emerging-market experiences, the article contributes to a deeper understanding of AI’s role in shaping sustainable productivity growth within the digital economy. Alim Babaniyazovich Ahmedov Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 2025-12-10 2025-12-10 1 6 3 7 https://altumnova.com/index.php/tsir/article/view/34 This expanded article provides a comprehensive analysis of the concept of artificial intelligence (AI), its historical development, major evolutionary stages, and its technological, social, and economic importance in modern society. The paper examines the influence of AI systems on various fields of human activity, highlighting both their advantages and potential risks. Special attention is given to ethical principles, legal considerations, and the role of human involvement in the sustainable development of artificial intelligence. Muhammaddilyor Uzoqjonov Makhliyokhon Mirzakarimova Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 2025-12-10 2025-12-10 1 6 8 10 https://altumnova.com/index.php/tsir/article/view/35 The historical trajectory of robotics has been characterized by a profound compartmentalization of its constituent subsystems. Perception, world modeling, planning, and low-level control have evolved as largely independent fields, each with its own paradigms, benchmarks, and failure modes. The integration of these components into a cohesive, robust, and generalizable robotic agent has remained a persistent “grand challenge.” The recent advent of large-scale Vision-Language-Action (VLA) models presents a paradigmatic shift, promising a move from this fragmented architecture toward a unified, end-to-end approach. This article examines the foundational principles, architectural innovations, and practical implications of integrated VLA systems that directly translate perceptual inputs and linguistic instructions into executable robotic actions. We argue that these systems do not merely incrementally improve individual components but fundamentally redefine the robot’s cognitive pipeline, enabling a new level of semantic understanding, contextual adaptation, and open-world generalization. By treating the problem of embodied agency as a sequence modeling task across multimodal tokens, VLA models offer a path toward robots that can seamlessly connect the what they see and are told with the how they must physically act. Rashid Turgunbaev Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 2025-12-10 2025-12-10 1 6 11 17 https://altumnova.com/index.php/tsir/article/view/36 This article comprehensively analyzes the scientific basis of the concept of hidden contour lines, their content, functional tasks, and areas of practical application. Hidden contour lines are considered as an important graphic tool that serves to accurately represent invisible parts of relief, technical objects, and spatial structures. The study thoroughly examines the methodology of applying these lines in such areas as graphic modeling, geodesy, cartography, technical drawing, landscape analysis, and territorial planning. During the annotation, such aspects as revealing the internal morphological features of the relief using hidden contours, accurately depicting the internal structure of technical details, increasing the accuracy of spatial modeling, and ensuring the complete representation of complex objects in two-dimensional graphical form are widely explained. Umida Lutfillo kizi Akhmatjonova Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 2025-12-10 2025-12-10 1 6 18 22 https://altumnova.com/index.php/tsir/article/view/37 Background: The global increase in life expectancy is one of the most significant achievements of modern society. The growing proportion of elderly individuals has led to a marked rise in age-related ocular diseases. In Uzbekistan’s Fergana Valley, more than 4,100 people aged 90 years and older represent a rapidly expanding demographic requiring improved ophthalmological monitoring. Objective: To enhance the system of monitoring and diagnosis of ocular pathologies in elderly individuals through the implementation of a digital health program. Materials and Methods: A digital platform titled “Medical Monitoring Card for the Elderly” was developed and implemented in the healthcare network of the Fergana Valley. The study included 413 elderly participants from Andijan (n=105), Fergana (n=222), and Namangan (n=86) regions. The program integrated four key modules: demographic data, anamnesis and comorbidities, diagnostic results, and follow-up monitoring. It enabled direct communication between primary care physicians and specialized ophthalmologists for improved coordination. Results: Implementation of the electronic system significantly improved the quality and efficiency of geriatric ophthalmological care. Duplicate diagnostic procedures were reduced by 30%. Coordination between primary and specialized healthcare providers improved notably. Compensation indicators for chronic diseases increased 3.5-fold. Progression of ocular pathologies was halted in 89% of monitored cases. The system eliminated data duplication, ensured transparency of clinical decisions, and facilitated real-time performance assessment of medical personnel. Conclusion: The digital monitoring system proved to be an effective tool for optimizing ophthalmologic diagnostics and follow-up care among the elderly. The model can be adapted and scaled for broader use in regional and national healthcare systems. Kh.M.Kamilov Z.K.Khakimova A.A.Shermatov I.J.Jakhongirov Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 2025-12-10 2025-12-10 1 6 23 28