Abstract
Artificial Intelligence (AI) has rapidly transformed numerous industries, and its hardware backbone is critical for efficient AI processing. Electrical Engineering plays a pivotal role in designing, developing, and optimizing AI hardware components such as processors, memory units, sensors, and communication interfaces. This article explores the intersection of electrical engineering and AI hardware, emphasizing advancements in neuromorphic computing, ASICs, FPGAs, and system-on-chip (SoC) designs that accelerate AI tasks. Additionally, it discusses challenges related to power consumption, speed, and scalability, highlighting ongoing research in low-power architectures and hardware-software co-design. The article aims to provide a comprehensive overview of how electrical engineering innovations enable the deployment of AI across applications from autonomous vehicles to smart IoT devices

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Copyright (c) 2025 David Johnson (Author)