Intelligent Workloads At The Edge
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Intelligent Workloads At The Edge
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Author : Indraneel Mitra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-14
Intelligent Workloads At The Edge written by Indraneel Mitra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-14 with Computers categories.
Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.
Edge Intelligence
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Author : Javid Taheri
language : en
Publisher: Springer Nature
Release Date : 2023-05-13
Edge Intelligence written by Javid Taheri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-13 with Computers categories.
This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms. The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks along edge computing platforms. Chapter 5 introduces AI/ML pipelines to efficiently process generated data on the edge. Chapter 6 introduces ways to implement AI/ML systems on the edge and ways to deal with their training and inferencing procedures considering the limited resources available at the edge-nodes. Chapter 7 motivates the creation of a new orchestrator independent object model to descriptive objects (nodes, applications, etc.) and requirements (SLAs) for underlying edge platforms. To provide hands-on experience to students and step-by-step improve their technical capabilities, seven sets of Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions for each TaL is provided on the book website, and accompanied by videos to facilitate their learning process.
Edge Artificial Intelligence
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Author : Parikshit Narendra Mahalle
language : en
Publisher: Elsevier
Release Date : 2025-08-01
Edge Artificial Intelligence written by Parikshit Narendra Mahalle and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the essentials of Edge AI and machine learning. It delves into the architecture, algorithms, and applications of Edge AI, offering insights into regulation and governance. Real-world case studies and practical examples are included, providing readers with the knowledge and tools to harness the transformative power of Edge AI. This book also addresses the ethical considerations and regulatory aspects of deploying AI at the edge.In addition to offering a clear understanding of real-time decision-making, enhanced privacy, and efficient applications, this book empowers both technical and nontechnical readers by providing practical insights, case studies, and ethical considerations. It helps users implement and govern Edge AI in a responsible and effective manner. - Offers a comprehensive overview of edge computing that covers everything from the fundamentals to advanced techniques - Explores a wide range of real-world applications of Edge AI, from smart homes to healthcare and autonomous vehicles, providing practical insights and use cases - Examines the ethical considerations and regulatory aspects of Edge AI, helping readers navigate the responsible use of this technology
Reconnoitering The Landscape Of Edge Intelligence In Healthcare
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Author : Suneeta Satpathy
language : en
Publisher: CRC Press
Release Date : 2024-04-23
Reconnoitering The Landscape Of Edge Intelligence In Healthcare written by Suneeta Satpathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Computers categories.
The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.
Edge Intelligence In The Making
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Author : Sen Lin
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2020-10-21
Edge Intelligence In The Making written by Sen Lin and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Computers categories.
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 edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.
Intelligent Urban Mobility
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Author : Muhammet Deveci
language : en
Publisher: Academic Press
Release Date : 2025-07-04
Intelligent Urban Mobility written by Muhammet Deveci and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Transportation categories.
Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change by focusing on applied soft computing techniques, artificial intelligence, and algorithms for fuzzy systems. Researchers and professionals will find actionable information on mitigating congestion and emissions through sustainable mobility initiatives, which bridges the gap between theory and real-world practice.The book also offers technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options. The book highlights innovative models and frameworks for analyzing mobility options and planning sustainable transport systems. It is an essential resource for researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences who aim to redesign city transportation to reduce environmental impact and carbon emissions. - Provides an overview of the most recent advances in the development of decision support systems for the implementation of sustainable urban mobility - Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems - Offers solutions for the design, development, and integration of sustainable urban transport options
Artificial Intelligence For Cloud Edge Computing
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Author : Jayaraman Kumarappan
language : en
Publisher: RK Publication
Release Date : 2024-11-22
Artificial Intelligence For Cloud Edge Computing written by Jayaraman Kumarappan and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Artificial Intelligence for Cloud & Edge Computing the integration of AI with cloud and edge computing, highlighting how these technologies transform data processing and decision-making. The AI models optimized for distributed environments, addressing challenges like latency, security, and scalability. It key applications across industries, examines emerging trends, and provides insights into the future of intelligent systems. Designed for professionals, researchers, and students, it offers a comprehensive understanding of how AI enhances computing efficiency at both centralized cloud infrastructures and decentralized edge devices.
Artificial Intelligence For Edge Computing
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Author : Mudhakar Srivatsa
language : en
Publisher: Springer Nature
Release Date : 2023-12-21
Artificial Intelligence For Edge Computing written by Mudhakar Srivatsa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.
It is undeniable that the recent revival of artificial intelligence (AI) has significantly changed the landscape of science in many application domains, ranging from health to defense and from conversational interfaces to autonomous cars. With terms such as “Google Home”, “Alexa”, and “ChatGPT” becoming household names, the pervasive societal impact of AI is clear. Advances in AI promise a revolution in our interaction with the physical world, a domain where computational intelligence has always been envisioned as a transformative force toward a better tomorrow. Depending on the application family, this domain is often referred to as Ubiquitous Computing, Cyber-Physical Computing, or the Internet of Things. The underlying vision is driven by the proliferation of cheap embedded computing hardware that can be integrated easily into myriads of everyday devices from consumer electronics, such as personal wearables and smart household appliances, to city infrastructure and industrial process control systems. One common trait across these applications is that the data that the application operates on come directly (typically via sensors) from the physical world. Thus, from the perspective of communication network infrastructure, the data originate at the network edge. From a performance standpoint, there is an argument to be made that such data should be processed at the point of collection. Hence, a need arises for Edge AI -- a genre of AI where the inference, and sometimes even the training, are performed at the point of need, meaning at the edge where the data originate. The book is broken down into three parts: core problems, distributed problems, and other cross-cutting issues. It explores the challenges arising in Edge AI contexts. Some of these challenges (such as neural network model reduction to fit resource-constrained hardware) are unique to the edge environment. They need a novel category of solutions that do not parallel more typical concerns in mainstream AI. Others are adaptations of mainstream AI challenges to the edge space. An example is overcoming the cost of data labeling. The labeling problem is pervasive, but its solution in the IoT application context is different from other contexts. This book is not a survey of the state of the art. With thousands of publications appearing in AI every year, such a survey is doomed to be incomplete on arrival. It is also not a comprehensive coverage of all the problems in the space of Edge AI. Different applications pose different challenges, and a more comprehensive coverage should be more application specific. Instead, this book covers some of the more endemic challenges across the range of IoT/CPS applications. To offer coverage in some depth, we opt to cover mainly one or a few representative solutions for each of these endemic challenges in sufficient detail, rather that broadly touching on all relevant prior work. The underlying philosophy is one of illustrating by example. The solutions are curated to offer insight into a way of thinking that characterizes Edge AI research and distinguishes its solutions from their more mainstream counterparts.
Embedded Artificial Intelligence
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Author : Arpita Nath Boruah
language : en
Publisher: CRC Press
Release Date : 2025-03-28
Embedded Artificial Intelligence written by Arpita Nath Boruah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage. It discusses a variety of techniques for optimizing algorithms and models for embedded systems, including hardware acceleration, model compression, and quantization. Key features: • Explores security experiments in emerging post‐CMOS technologies using AI, including side channel attack‐resistant embedded systems. • Discusses different hardware and software platforms available for developing embedded AI applications, as well as the various techniques used to design and implement these systems. • Considers ethical and societal implications of embedded AI vis‐a‐vis the need for responsible development and deployment of embedded AI systems. • Focuses on application‐based research and case studies to develop embedded AI systems for real‐life applications. • Examines high‐end parallel systems to run complex AI algorithms and comprehensive functionality while maintaining portability and power efficiency. This reference book is for students, researchers, and professionals interested in embedded AI and relevant branches of computer science, electrical engineering, or artificial intelligence.
Applied Edge Ai
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Author : Pethuru Ray
language : en
Publisher: Auerbach Publications
Release Date : 2022
Applied Edge Ai written by Pethuru Ray and has been published by Auerbach Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computers categories.
Enterprises are evolving into real-time digital organizations. This book 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.