دانلود کتاب هوش مصنوعی Edge برای برنامه‌های Industry 5.0 و Healthcare 5.0

All physical, mechanical, and electrical systems in our everyday environments are digitized through various digitization and edge technologies such as sensors, actuators, tags, codes, microcontrollers, stickers, etc. To accomplish more, electronic devices are increasingly empowered with compu-tational, memory, storage, communication, and security resources. In short, ordinary and dumb elements extensively found in our living, walking, working, and socializing environments are tech-nologically enabled to be digitized. That is, digitized entities gain the power to find one another in the vicinity and are integrated with remote digital assets through one or other networking methods. Such local and remote networking empowers edge devices to correspond and share their unique capabilities. Thus, the flourishing concept of the Internet of Things (IoT) talks about all kinds of ordinary, casual, and cheap things in our everyday environments (homes, offices, hospitals, retail stores, airports, educational campuses, eating joints, entertainment plazas, etc.) are methodically digitized (instrumented) and connected to exhibit intelligent capabilities.AI models are meticulously engineered, evaluated, optimized, deployed, and observed. They are honed to be highly efficient, primarily through optimization and compression techniques such as pruning, quantization, and knowledge distillation. These lightweight models can be swiftly deployed in edge devices to infer valuable insights quickly.Deploying and running artificial intelligence (AI) models has become more manageable. The development processes for AI models are constantly refined and simplified, accelerating the creation of competent and cognitive AI models. These models and systems have the unique and reassuring ability to continuously learn from various data sources, including environmental, performance, and operational data. This adaptability and resilience through continuous learning empower IoT edge devices to automate various needs.The unique capacities and capabilities of IoT, edge computing, and AI are being realized through a series of advancements. These include multifaceted AI-centric processors, integrated platforms, facilitating frameworks, automated toolsets, and enabling libraries. These technologies and tools are paving the way for the development of pioneering AI models and systems. This chapter will explore how these advancements in AI, IoT, edge computing, and 5G communication, a high-speed, low-latency network crucial for connecting and transferring data between IoT devices, are shap-ing the future of technology. These advancements can potentially revolutionize various industries, bringing unprecedented capabilities and opportunities.This book discusses how on-device data is processed quickly and how this state-of-the-art tech-nique contributes immensely to envisaging real-world and real-time services and applications. Especially how the path-breaking edge AI concept (the strategically sound combination of edge data processing and AI’s analytical, generative, transformative, and creative power) helps in visu-alizing and implementing Industry 4.0 and 5.0 systems is detailed in this book. Without an iota of doubt, multiple industry verticals are empowered through real-time data capture, processing, decision-making, and action. Edge AI has the innate power to open up fresh possibilities and oppor-tunities. This book describes the recent trends and transitions in the edge AI space. Scores of evo-lutionary and revolutionary concepts combine well to prepare the field of edge AI to assimilate and accomplish better and bigger things for society’s empowerment and betterment.