№ 67-4 (том 2): ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, Октябрь, 2025
Научно-образовательные статьи

THE EVOLUTION OF ARTIFICIAL INTELLIGENCE IN MODERN COMPUTER TECHNOLOGY SYSTEMS

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  • Hajymammedov Kerimberdi,
  • Geldiyeva Aygul,
  • Ussayeva Ayjemal,
  • Mekan Allyyev
Hajymammedov Kerimberdi
Oguz han Engineering and technology university of Turkmenistan
Geldiyeva Aygul
Oguz han Engineering and technology university of Turkmenistan
Ussayeva Ayjemal
Oguz han Engineering and technology university of Turkmenistan
Mekan Allyyev
Oguz han Engineering and technology university of Turkmenistan

Опубликован 08.11.2025

Как цитировать

K. Hajymammedov, A. Geldiyeva, A. Ussayeva, & M. Allyyev. (2025). THE EVOLUTION OF ARTIFICIAL INTELLIGENCE IN MODERN COMPUTER TECHNOLOGY SYSTEMS. ОБРАЗОВАНИЕ И НАУКА В XXI ВЕКЕ, 67-4 (том 2). https://mpcareer-google.ru/index.php/journal/article/view/3805

Аннотация

This paper investigates the evolution of artificial intelligence (AI) within the context of modern computer technology systems, exploring the historical development, technological integration, and transformative impact of AI across computing paradigms. Through a combination of historical analysis, technological review, and qualitative synthesis of secondary data, the study examines the convergence of AI algorithms with hardware and software architectures. The findings reveal that the co-evolution of AI and computer systems has been marked by cycles of theoretical innovation and practical application, driven by advances in machine learning, neural network design, and computational infrastructure. AI has evolved from symbolic reasoning systems to data-driven deep learning models, reshaping computing processes in automation, analytics, and cognitive computing. The paper concludes that the continued evolution of AI depends on sustainable integration with computer architectures, emphasizing ethical design, computational efficiency, and interdisciplinary collaboration to ensure equitable technological progress.

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Библиографические ссылки

  1. Müller, T., & García, L. (2020). From logic to learning: The historical trajectory of artificial intelligence systems. European Journal of Computational Studies, 12(3), 145–182.
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  3. García, L., & Müller, T. (2022). Ethics, governance, and autonomy in the age of intelligent computing. International Review of Artificial Systems and Society, 11(4), 231–268.
  4. Schmid, R., & Ivanov, D. (2023). Hybrid intelligence and the future of human–machine collaboration. Global Journal of Digital Innovation and Cognitive Systems, 15(1), 29–66.