Semiconductor technology has profoundly shaped the landscape of edge computing by enhancing energy efficiency, processing power, and device miniaturization. Continued advancements in semiconductor tech promise further integration of AI, improved edge-to-cloud synchronization, and heightened security, fueling growth and innovation in edge computing. This synergy is evident as semiconductor tech enables versatile edge device deployment, while edge computing applications like real-time analytics and machine learning drive innovation, resulting in purpose-built chips for edge computing applications. Semiconductor tech and edge computing are symbiotic, with one driving the others evolution, forming an inseparable partnership in the realm of computing. This paper describes the role of semiconductor technology in driving edge computing technology in terms of energy, performance, and miniaturization, and incorporates data that predicts future directions for semiconductor-based technologies in edge computing.
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Weiyi Luo (2024) studied this question.
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