Applied Edge AI

Applied Edge AI
Author :
Publisher : CRC Press
Total Pages : 329
Release :
ISBN-10 : 9781000552690
ISBN-13 : 1000552691
Rating : 4/5 (691 Downloads)

Book Synopsis Applied Edge AI by : Pethuru Raj

Download or read book Applied Edge AI written by Pethuru Raj and published by CRC Press. This book was released on 2022-04-05 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. FEATURES 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


Applied Edge AI Related Books

Applied Edge AI
Language: en
Pages: 329
Authors: Pethuru Raj
Categories: Computers
Type: BOOK - Published: 2022-04-05 - Publisher: CRC Press

GET EBOOK

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worl
Edge AI
Language: en
Pages: 156
Authors: Xiaofei Wang
Categories: Computers
Type: BOOK - Published: 2020-08-31 - Publisher: Springer Nature

GET EBOOK

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being h
Artificial Intelligence and Machine Learning for EDGE Computing
Language: en
Pages: 516
Authors: Rajiv Pandey
Categories: Science
Type: BOOK - Published: 2022-04-26 - Publisher: Academic Press

GET EBOOK

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impa
Applied Reconfigurable Computing. Architectures, Tools, and Applications
Language: en
Pages: 311
Authors: Iouliia Skliarova
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

Applied Artificial Intelligence
Language: en
Pages: 246
Authors: Mariya Yao
Categories: Artificial intelligence
Type: BOOK - Published: 2018-04-30 - Publisher:

GET EBOOK

This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions t