Edge AI and Hardware

Edge AI and Hardware: Enabling Intelligent Devices in Real-Time is a comprehensive guide to the rapidly evolving world of edge computing and artificial intelligence. This book explores how AI can run directly on devices like smartphones, IoT sensors, smart cameras, autonomous vehicles, and wearable health monitors, providing real-time intelligence without relying solely on the cloud.
Readers will learn:
The fundamentals of Edge AI and how it differs from cloud-based AI.How AI models are optimized for edge devices using pruning, quantization, and knowledge distillation.The role of specialized hardware-CPUs, GPUs, NPUs, TPUs, FPGAs, and ASICs-in enabling efficient AI processing.Best practices for designing, deploying, and maintaining secure and energy-efficient edge AI systems.Real-world applications across healthcare, industrial IoT, autonomous systems, smart homes, and more.Emerging trends like TinyML, AIoT, and next-generation 5G/6G-enabled edge intelligence.
With practical guidance, hands-on examples, and future-focused insights, this book equips developers, engineers, and tech enthusiasts to build smarter, faster, and autonomous edge-powered devices that redefine how AI interacts with the real world.

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