In the name of of Allah the Merciful

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

R. I. Minu, G. Nagarajan, Pethuru Raj Chelliah, 0367702363, 9780367702366, 978-0367702366

100,000 Toman
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English | 2022 | PDF

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The strategically sound combination of edge computing and artificial  intelligence (AI) results in a series of distinct innovations and  disruptions enabling worldwide enterprises to visualize and realize  next-generation software products, solutions and services. Businesses,  individuals, and innovators are all set to embrace and experience the  sophisticated capabilities of Edge AI. With the faster maturity and  stability of Edge AI technologies and tools, the world is destined to  have a dazzling array of edge-native, people-centric, event-driven,  real-time, service-oriented, process-aware, and insights-filled  services. Further on, business workloads and IT services will become  competent and cognitive with state-of-the-art Edge AI infrastructure  modules, AI algorithms and models, enabling frameworks, integrated  platforms, accelerators, high-performance processors, etc. The Edge AI  paradigm will help enterprises evolve into real-time and intelligent  digital organizations.

Applied Edge AI: Concepts, Platforms, and  Industry Use Cases focuses on the technologies, processes, systems, and  applications that are driving this evolution. It examines the  implementation technologies; the products, processes, platforms,  patterns, and practices; and use cases. AI-enabled chips are exclusively  used in edge devices to accelerate intelligent processing at the edge.  This book examines AI toolkits and platforms for facilitating edge  intelligence. It also covers chips, algorithms, and tools to implement  Edge AI, as well as use cases.

The opportunities and benefits of intelligent edge computing
Edge architecture and infrastructure
AI-enhanced analytics in an edge environment
Encryption for securing information
An Edge AI system programmed with Tiny Machine learning algorithms for decision making
An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge
Ambient intelligence in healthcare services and in development of consumer electronic systems
Smart manufacturing of unmanned aerial vehicles (UAVs)
AI, edge computing, and blockchain in systems for environmental protection
Case studies presenting the potential of leveraging AI in 5G wireless communication