The revolutionary impact of advances in artificial intelligence on consumer and industrial electronics has skyrocketed the demands for specialized processing units designed to handle AI workloads. AI- Processor Electronics: Basic Technology of Artificial Intelligence offers a concise exposition of the principles and technology of processors capable of performing fast and energy-efficient large-scale data processing and complex computations. Commencing with an overview of artificial intelligence, machine and deep learning, the book introduces the basic concepts of digital computer electronics. Over the years, the central processing unit has been the primary processor in computers that has meticulously borne the brunt of mathematical tasks. Emphasizing its limitations in the context of the contemporary AI scenario, the extensively applied concepts of parallel computing and AI-optimized hardware are elaborated. Then the book takes the reader through an interesting journey of the processors dedicated to AI tasks including the graphical, the tensor and the neural processing units, followed by the convolutional neural network processor, the vision processing unit, the sparse neural network processor, the graph analytics processor, the associative memory processing unit, and finally the processor based on the ground-breaking quantum mechanical theory, namely the quantum processing unit. The book will be of immense value to graduate/post graduate and Ph.D students in electronics and computer engineering and related disciplines, and equally relevant to the practicing engineers and scientists engaged in this field.