The Role of Artificial Intelligence in Modern Computer Architecture: From Algorithms to Hardware Optimization

Autoriai

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https://doi.org/10.69760/portuni.010208

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Artificial Intelligence##common.commaListSeparator## Computer Architecture##common.commaListSeparator## GPU##common.commaListSeparator## TPU##common.commaListSeparator## Edge AI##common.commaListSeparator## Neuromorphic Computing

Santrauka

The rapid advancement of artificial intelligence (AI) has significantly influenced the design and evolution of modern computer architectures. This article explores the dynamic relationship between AI algorithms and hardware, focusing on how neural networks have driven the development of specialized processors such as GPUs, TPUs, and neuromorphic chips. Through comparative analysis, performance benchmarking, and model-hardware interaction, the study highlights the transition from general-purpose computing systems to AI-optimized platforms. It also addresses emerging challenges related to scalability, energy efficiency, and security. The findings call for deeper interdisciplinary collaboration between AI researchers and hardware engineers to build systems that are both high-performing and sustainable in the age of intelligent computing.

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    [1] Mammadov, E. Associate Professor, PhD in Pedagogy, Vice-Rector for Academic Affairs, Nakhchivan Teachers Institute. Email: ElshanMammadov@nmi.edu.az. ORCID: https://orcid.org/0009-0004-5265-8266

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    [2] Asgarov, A. Senior Lecturer, Nakhchivan Teachers Institute. Email: ennagiesgerov@nmi.edu.az. ORCID: https://orcid.org/0009-0003-0629-1240

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    [3] Mammadova, A. Senior Lecturer, Nakhchivan State University. Email: mammadova_ayshen@gmail.com. ORCID: https://orcid.org/0009-0003-1928-0743

##submission.citations##

Adnan, M., Xiao, B., Ali, M. U., Bibi, S., Yu, H., Xiao, P., ... & An, X. (2024). Human inventions and its environmental challenges, especially artificial intelligence: New challenges require new thinking. Environmental Challenges, 100976.

Garikapati, D., & Shetiya, S. S. (2024). Autonomous vehicles: Evolution of artificial intelligence and the current industry landscape. Big Data and Cognitive Computing, 8(4), 42.

Hong, B., Zhao, P., Liu, J., Zhu, A., Dai, S., & Li, K. (2024). The application of artificial intelligence technology in assembly techniques within the industrial sector. Journal of Artificial Intelligence General science (JAIGS) ISSN: 3006-4023, 5(1), 1-12.

Khaleel, M., Jebrel, A., & Shwehdy, D. M. (2024). Artificial Intelligence in Computer Science: https://doi. org/10.5281/zenodo. 10937515. Int. J. Electr. Eng. and Sustain., 01-21.

Malviya, R. K., Danda, R. R., Maguluri, K. K., & Kumar, B. V. (2024). Neuromorphic computing: Advancing energy-efficient ai systems through brain-inspired architectures. Nanotechnology Perceptions, 1548-1564.

Mammadov, E., Asgarov, A., & Mammadova, A. (2024). Applications of IoT in Civil Engineering: From Smart Cities to Smart Infrastructure. Luminis Applied Science and Engineering, 1(1), 13-28. https://doi.org/10.69760/lumin.202400003

Patil, V. J., Khadake, S. B., Tamboli, D. A., Mallad, H. M., Takpere, S. M., & Sawant, V. A. (2024, January). A comprehensive analysis of artificial intelligence integration in electrical engineering. In 2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) (pp. 484-491). IEEE.

Wang, T., & Wu, D. (2024). Computer-aided traditional art design based on artificial intelligence and human-computer interaction. Computer-Aided Design and Applications, 21(1).

Yadav, B. R. (2024). Machine Learning Algorithms: Optimizing Efficiency in AI Applications. International Journal of Engineering and Management Research, 14(5), 49-57.

Zhang, Z., Liu, X., Zhou, H., Xu, S., & Lee, C. (2024). Advances in machine‐learning enhanced nanosensors: from cloud artificial intelligence toward future edge computing at chip level. Small Structures, 5(4), 2300325.

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Publikuota

2025-04-24

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