Electronics Behind Intelligence

Hardware Foundations of AI

Authors

  • Francis E. Villamor, ECE College of Technology and Engineering, Cebu Technological University–Argao Campus Argao 6021, Cebu, Philippines Author

DOI:

https://doi.org/10.62596/eir.vd78w591

Keywords:

artificial intelligence hardware, semiconductor technology, edge computing

Abstract

This paper highlights the crucial role of electronic hardware in enabling the performance and scalability of artificial intelligence systems. It explains how specialized processors, accelerators, and edge computing devices support complex AI computations across modern applications. Advancements in semiconductor technologies and innovative architectures continue to shape the future of intelligent systems.

References

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Sze, V., Chen, Y. H., Yang, T. J., & Emer, J. S. (2017). Efficient processing of deep neural networks: A tutorial and survey. Proceedings of the IEEE, 105(12), 2295–2329.

Wang, J., & Su, J. (2025). A review of object detection techniques in IoT-based intelligent transportation systems. Computers, Materials & Continua, 84(1).

Wang, G., Che, J., Gao, C., Han, Z., Shen, J., Cheng, Z., & Zhou, P. (2025). Integrated neuromorphic photonic computing for AI acceleration: Emerging devices, network architectures, and future paradigms. Advanced Materials, e08029.

Zheng, Y., Xu, H., Li, Z., Li, L., Yu, Y., Jiang, P., ... & Wang, L. (2025). Artificial intelligence–driven approaches in semiconductor research. Advanced Materials, 37(35), 2504378.

electronics

Downloads

Published

03/02/2026

How to Cite

Electronics Behind Intelligence: Hardware Foundations of AI. (2026). EDUCATION AND INDUSTRY REVIEW, 1(1). https://doi.org/10.62596/eir.vd78w591

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