Edge AI

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  • Author : Xiaofei Wang
  • Publisher : Springer Nature
  • Pages : 149 pages
  • ISBN : 9811561869
  • Rating : /5 from reviews
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Download or Read online Edge AI full in PDF, ePub and kindle. this book written by Xiaofei Wang and published by Springer Nature which was released on 31 August 2020 with total page 149 pages. We cannot guarantee that Edge AI book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Edge AI

Edge AI
  • Author : Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
  • Publisher : Springer Nature
  • Release : 31 August 2020
GET THIS BOOK Edge AI

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and

Mobile Edge Artificial Intelligence

Mobile Edge Artificial Intelligence
  • Author : Yuanming Shi,Kai Yang,Zhanpeng Yang,Yong Zhou
  • Publisher : Academic Press
  • Release : 23 August 2021
GET THIS BOOK Mobile Edge Artificial Intelligence

Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI

Mobile Edge Computing

Mobile Edge Computing
  • Author : Yan Zhang
  • Publisher : Springer Nature
  • Release : 01 October 2021
GET THIS BOOK Mobile Edge Computing

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
  • Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
  • Publisher : John Wiley & Sons
  • Release : 27 July 2021
GET THIS BOOK Machine Learning Approach for Cloud Data Analytics in IoT

In this era of IoT, edge devices generate gigantic data during every fraction of a second. The main aim of these networks is to infer some meaningful information from the collected data. For the same, the huge data is transmitted to the cloud which is highly expensive and time-consuming. Hence, it needs to devise some efficient mechanism to handle this huge data, thus necessitating efficient data handling techniques. Sustainable computing paradigms like cloud and fog are expedient to capably handle

Artificial Intelligence for Communications and Networks

Artificial Intelligence for Communications and Networks
  • Author : Shuai Han,Liang Ye,Weixiao Meng
  • Publisher : Springer
  • Release : 04 July 2019
GET THIS BOOK Artificial Intelligence for Communications and Networks

This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position.

Mobile Edge Computing

Mobile Edge Computing
  • Author : Yan Zhang
  • Publisher : Springer
  • Release : 02 November 2021
GET THIS BOOK Mobile Edge Computing

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and

Edge Intelligence in the Making

Edge Intelligence in the Making
  • Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang
  • Publisher : Unknown
  • Release : 21 October 2020
GET THIS BOOK Edge Intelligence in the Making

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications
  • Author : Christos Volos,Viet-Thanh Pham
  • Publisher : Academic Press
  • Release : 01 July 2021
GET THIS BOOK Mem elements for Neuromorphic Circuits with Artificial Intelligence Applications

Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types

Artificial Intelligence and Security

Artificial Intelligence and Security
  • Author : Jinwei Wang,Xingming Sun,Elisa Bertino
  • Publisher : Springer Nature
  • Release : 23 October 2021
GET THIS BOOK Artificial Intelligence and Security

This is part 2 of the 3-volume set CCIS 1252 until CCIS 1254 that constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called "International Conference on Cloud Computing and Security" with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part

Artificial Intelligence in China

Artificial Intelligence in China
  • Author : Qilian Liang,Wei Wang,Jiasong Mu,Xin Liu,Zhenyu Na,Bingcai Chen
  • Publisher : Springer Nature
  • Release : 31 January 2020
GET THIS BOOK Artificial Intelligence in China

This book brings together papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019, which provided a venue for disseminating the latest advances and discussing the interactions and links between the various subfields of AI. Addressing topics that cover virtually all aspects of AI and the latest developments in China, the book is chiefly intended for undergraduate and graduate students in Electrical Engineering, Computer Science, and Mathematics, for researchers and engineers from academia and industry, and for government

Edge Intelligence in the Making

Edge Intelligence in the Making
  • Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
  • Publisher : Unknown
  • Release : 21 October 2020
GET THIS BOOK Edge Intelligence in the Making

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of

Artificial Intelligence and Security

Artificial Intelligence and Security
  • Author : Xingming Sun,Zhaoqing Pan,Elisa Bertino
  • Publisher : Springer
  • Release : 18 July 2019
GET THIS BOOK Artificial Intelligence and Security

The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence;

Computer Information Systems and Industrial Management

Computer Information Systems and Industrial Management
  • Author : Khalid Saeed,Rituparna Chaki,Valentina Janev
  • Publisher : Springer Nature
  • Release : 07 October 2019
GET THIS BOOK Computer Information Systems and Industrial Management

This book constitutes the proceedings of the 18th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2019, held in Belgrade, Serbia, in September 2019. The 43 full papers presented together with 3 abstracts of keynotes were carefully reviewed and selected from 70 submissions. The main topics covered by the chapters in this book are biometrics, security systems, multimedia, classification and clustering, industrial management. Besides these, the reader will find interesting papers on computer information systems as applied to wireless networks, computer graphics,

Advances in Artificial Intelligence and Security

Advances in Artificial Intelligence and Security
  • Author : Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino
  • Publisher : Springer Nature
  • Release : 23 October 2021
GET THIS BOOK Advances in Artificial Intelligence and Security

The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021. The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security internet; Part III: cloud computing and security;