Learning On The Edge
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Machine Learning For Edge Computing
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Author : Amitoj Singh
language : en
Publisher: CRC Press
Release Date : 2022-07-29
Machine Learning For Edge Computing written by Amitoj Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Computers categories.
This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.
The Learning Edge
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Author : Calhoun W. Wick
language : en
Publisher:
Release Date : 1993
The Learning Edge written by Calhoun W. Wick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Business & Economics categories.
Explains where the best learning occurs, discloses what managers must learn to add value to their organization, and presents a five-step process for 'becoming your best at work'
Practical Deep Learning For Cloud Mobile And Edge
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Author : Anirudh Koul
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-10-14
Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Edge Learning For Distributed Big Data Analytics
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Author : Song Guo
language : en
Publisher: Cambridge University Press
Release Date : 2022-02-10
Edge Learning For Distributed Big Data Analytics written by Song Guo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-10 with Computers categories.
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Edge Ai
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Author : Xiaofei Wang
language : en
Publisher: Springer Nature
Release Date : 2020-08-31
Edge Ai written by Xiaofei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.
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.
Artificial Intelligence And Machine Learning For Edge Computing
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Author : Rajiv Pandey
language : en
Publisher: Academic Press
Release Date : 2022-04-26
Artificial Intelligence And Machine Learning For Edge Computing written by Rajiv Pandey and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Science categories.
Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints
The Learning Edge
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Author : Alan Bain
language : en
Publisher: Teachers College Press
Release Date : 2015-04-17
The Learning Edge written by Alan Bain and has been published by Teachers College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-17 with Education categories.
After billions of dollars, thousands of studies, and immeasurable effort by educators at all levels, why is the performance of students and teachers so unaffected by technology? Moreover, what should be done to extract genuine benefit from the information and communication technology (ICT) revolution? In this groundbreaking book, technology and education experts Alan Bain and Mark Weston provide research-based evidence for how the widespread application of ICT can provide powerful learning opportunities that lead to lasting gains and achievement. They show how the integrated use of technology at all levels of the educational system can greatly expand collaborative learning opportunities by giving all educational stakeholders powerful problem-solving tools and solutions. The approaches presented here are grounded in over twenty years of experience working with classroom teachers, school leaders, association members, and policymakers.
The Mobile Learning Edge Tools And Technologies For Developing Your Teams
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Author : Gary Woodill
language : en
Publisher: McGraw Hill Professional
Release Date : 2010-09-10
The Mobile Learning Edge Tools And Technologies For Developing Your Teams written by Gary Woodill and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-10 with Business & Economics categories.
Engage and teach your team wherever and whenever—from one of the world's leading e-learning authorities. The digital electronics revolution keeps us connected with almost anyone around the world and makes information available anywhere, at anytime. In the workplace, the impact has been great, propelling mobile learning to the forefront of training and education. Dr. Gary Woodill, a senior analyst at a leading e-learning research firm shows you how mobile learning is evolving, and how organizations can use it more efficiently and effectively--with companies reaping the rewards of increased communication, teamwork, productivity and profitability. Learn how to break free from the old notions of training and development with the concrete strategies in The Mobile Learning Edge and Become skilled in the seven principles of successfully training employees on the move Implement new learning programs that employees can access anywhere Develop a future mobile learning strategy in an ever-changing environment Discover what might be the right kind of mobile technologies for your company With The Mobile Learning Edge you'll go beyond applications and content and be able to create engaging and productive mobile learning for your team. According to a recent study, there's one mobile device for every two people in the world, and the technology making these devices smarter and more connected is improving almost daily. The real revolution is that mobile learning releases learners from the classroom where they are immobilized, and allows them to learn at "anytime, anyplace." In The Mobile Learning Edge, Dr. Gary Woodill outlines the most effective methodologies for training and engaging employees on the move and takes the person out of the classroom, while keeping learners connected to the information they need at all times. The Mobile Learning Edge features: Information on the social media and enabled devices that can serve your mobile learning Concrete strategies for how your business can use mobile learning to train, educate, and instruct employees anywhere Pointers on information gathering and analysis on the fly Innovative ideas for creating effective mobile learning experiences Comprehensive strategies for anticipating future mobile learning needs and developments You'll find a wealth of information about the history of this emerging field, retrieving information, methods for learning, applications, uses, and experiences--and how to put it all together to build a mobile learning system that’s right for your team. Using case studies, Woodill shows how you can emulate the successes of corporations like Nike, Accenture, and Merrill Lynch in using micro-blogging, cloud computing, mobile gaming, intermodal mashups, virtual worlds, collective intelligence, and other mobile learning platforms to take your business's recruitment, training, communication, and collaboration functions to the next level.
Smart Systems Design Applications And Challenges
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Author : Rodrigues, João M.F.
language : en
Publisher: IGI Global
Release Date : 2020-02-28
Smart Systems Design Applications And Challenges written by Rodrigues, João M.F. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.
Smart systems when connected to artificial intelligence (AI) are still closely associated with some popular misconceptions that cause the general public to either have unrealistic fears about AI or to expect too much about how it will change our workplace and life in general. It is important to show that such fears are unfounded, and that new trends, technologies, and smart systems will be able to improve the way we live, benefiting society without replacing humans in their core activities. Smart Systems Design, Applications, and Challenges provides emerging research that presents state-of-the-art technologies and available systems in the domains of smart systems and AI and explains solutions from an augmented intelligence perspective, showing that these technologies can be used to benefit, instead of replace, humans by augmenting the information and actions of their daily lives. The book addresses all smart systems that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation and make decisions based on the available data in a predictive or adaptive manner. Highlighting a broad range of topics such as business intelligence, cloud computing, and autonomous vehicles, this book is ideally designed for engineers, investigators, IT professionals, researchers, developers, data analysts, professors, and students.
Real Time Cost Aware Machine Learning At The Edge
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Author : Orpaz Goldstein
language : en
Publisher:
Release Date : 2021
Real Time Cost Aware Machine Learning At The Edge written by Orpaz Goldstein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Exponential growth in the need for low latency offloading of computation was answered by the introduction of edge networks. Since these networks are essentially isolated islands of computing, current prevalent centralized approaches to training learning agents should be adapted to account for the decentralized nature of this new network structure. Since these networks are designed for low latency, cost-awareness must be built into machine learning models when dealing with data streams. Additionally, in order to debias or expand on the locally available data while maintaining edge benefits, multi-agent systems should be constructed to allow for limited coordination outside of a local node.To address these issues, we suggest a novel end-to-end solution that supports the lifetime of a learning agent on the network. We reevaluate how learning agents receive information on an edge network and explore ways for them to communicate and coordinate with other agents efficiently while maintaining context. This thesis will dive into cost-awareness as it pertains to data acquired sequentially and messages exchanged on a network. Additionally, we will showcase our solution for knowledge transfer between remote agents that preserves all the benefits of running in a decentralized network environment.