EdgeAI-2021: CRC Press, Taylor & Francis Group.Book Chapter 2021:Applied Edge AI: Concepts, Platforms, and Industry Use Cases |
Submission link | https://easychair.org/conferences/?conf=edgeai2021 |
Abstract registration deadline | August 31, 2020 |
Notification to authors | September 15, 2020 |
Full chapter due date | December 15, 2020 |
Chapter reviews feedback | January 15, 2021 |
Revised chapter due date | February 15, 2021 |
Submission deadline | February 15, 2021 |
There are a bevy of digital transformation technologies and tools emerging and evolving fast in the recent past in order to fulfill the digital life dream. The strategically imperative combination of edge/fog computing and artificial intelligence (AI) paradigms is being touted as the distinct innovation and disruption for enterprises to visualize and realizing next-generation software services and applications.
This book is primarily intended to convey the latest trends and transitions happening in the edge/fog computing space, artificial intelligence(AI), the Internet of Things (IoT), blockchain, digital twins, 5G, real-time and streaming data analytics, industry 4.5 vision, edge device monitoring, automated edge application deployment, governance, orchestration and management, etc. There will be well-written chapters on digital transformation methods. There are AI chips exclusively to be used in edge devices to accelerate intelligent processing at edge. There are AI toolkits and platforms for facilitating edge intelligence. The proposed book covers all these noteworthy developments in order to accentuate and articulate how the latest improvisations at chip, algorithm, and tool levels come handy in implementing and sustaining the relatively new field of edge AI. The latter chapters will cover the various industrial use cases such as smart factories, self-driving vehicles, robots-assisted surgeries, etc. out of the delectable technology clusters.
Edge AI (alternatively termed as intelligent processing at edge, edge intelligence, intelligent edge or intelligence at edge) is being proclaimed as the next-generation technology paradigm to realize real-world intelligent applications and services for accelerating, augmenting and automating most of the industrial as well as people activities in real time. Capturing, cleansing and crunching edge device data in real-time can bring forth a number of real-time applications. Further on, with the increased usage of data analytics and AI toolkits in edge devices, business houses and commoners can gain hitherto unknown, sophisticated and situation-aware services