Applied Edge AI: Concepts, Platforms, and Industry Use Cases

Edge computing and artificial intelligence (AI) are combining to enable worldwide enterprises to visualize and realize next-generation software products, solutions, and services. This will lead to a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution, including AI-enabled chips, toolkits, platforms, algorithms, and tools. It also covers use cases such as intelligent edge computing, edge architecture and infrastructure, AI-enhanced analytics, encryption, ambient intelligence, smart manufacturing, and AI, edge computing, and blockchain in systems for environmental protection.

Format: Hardback
Length: 318 pages
Publication date: 06 April 2022
Publisher: Taylor & Francis Ltd

The convergence of edge computing and artificial intelligence (AI) heralds a transformative era, unleashing a wave of innovative disruptions that empower global enterprises to envision and deliver next-generation software products, solutions, and services. This strategic alliance opens up a realm of possibilities, enabling businesses, individuals, and innovators to embrace the sophisticated capabilities of Edge AI. As Edge AI technologies and tools mature and stabilize at an accelerated pace, the world is poised to witness a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-rich services.

Furthermore, the integration of state-of-the-art Edge AI infrastructure modules, AI algorithms, and models within business workloads and IT services will elevate them to new levels of competence and cognitive abilities. This includes advanced Edge AI infrastructure components such as high-performance processors, accelerators, and integrated platforms, which will empower enterprises to evolve into real-time, intelligent digital organizations.

Applied Edge AI: Concepts, Platforms, and Industry Use Cases serves as a comprehensive guide to this transformative landscape. It delves into the technologies, processes, systems, and applications driving the evolution of Edge AI. By examining the implementation technologies, products, processes, platforms, patterns, and practices, this book provides valuable insights into the practical applications of Edge AI across various industries.

Furthermore, the book explores the role of AI-enabled chips in accelerating intelligent processing at the edge, emphasizing their exclusive use in edge devices. It examines AI toolkits and platforms that facilitate edge intelligence, covering chips, algorithms, and tools required for implementing Edge AI. Additionally, the book presents real-world use cases that showcase the transformative impact of Edge AI in industries such as healthcare, transportation, and manufacturing.

With its comprehensive coverage, Applied Edge AI: Concepts, Platforms, and Industry Use Cases is an essential resource for professionals, researchers, and enthusiasts seeking to stay at the forefront of this rapidly evolving field. By providing a deep understanding of the opportunities and benefits of intelligent edge computing, edge architecture, AI-enhanced analytics, encryption for securing information, and the programming of Edge AI systems with Tiny Machine Learning, this book equips readers with the knowledge and tools necessary to navigate the complexities of this emerging paradigm and unlock the full potential of Edge AI.

Weight: 624g
Dimension: 161 x 242 x 26 (mm)
ISBN-13: 9780367702366