Edge Ai Solutions

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Edge Ai Solutions

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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-01-08

Edge Ai Solutions written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Computers categories.

""Edge AI Solutions"" explores the transformative world of localized artificial intelligence, where computational tasks are performed at the network's edge rather than in centralized cloud systems. The book expertly navigates through the evolution, implementation, and optimization of edge computing solutions, demonstrating how this technology addresses critical challenges in latency, bandwidth utilization, and data privacy. Through a blend of technical analysis and real-world applications, it illuminates how processing data closer to its source is revolutionizing industries from manufacturing to healthcare. The text progresses logically from theoretical foundations to practical applications, beginning with fundamental concepts in distributed computing and machine learning before diving into specialized topics like model optimization and deployment strategies. What sets this book apart is its emphasis on actionable implementation guidelines, supported by performance metrics from actual edge AI deployments and detailed case studies from industry leaders. Rather than dwelling purely on theory, it provides concrete methodologies for optimizing AI models and managing distributed systems. This comprehensive resource serves both as a technical manual and strategic guide, particularly valuable for software engineers and IT decision-makers navigating the transition to edge-based AI solutions. The book maintains accessibility while delving into complex technical concepts, offering detailed specifications for implementation while addressing crucial considerations in security, data privacy, and system architecture. Throughout its chapters, readers gain practical insights into real-world deployment scenarios, making it an essential reference for organizations looking to leverage edge AI technology.

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.

Soft Computing Techniques In Engineering Health Mathematical And Social Sciences

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Author : Pradip Debnath
language : en
Publisher: CRC Press
Release Date : 2021-07-15

Soft Computing Techniques In Engineering Health Mathematical And Social Sciences written by Pradip Debnath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Computers categories.

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.

Tinyml

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Author : Pete Warden
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-16

Tinyml written by Pete Warden and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Computers categories.

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

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 For Cloud And Edge Computing

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Author : Sanjay Misra
language : en
Publisher: Springer
Release Date : 2023-01-15

Artificial Intelligence For Cloud And Edge Computing written by Sanjay Misra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-15 with Computers categories.

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

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.

Building Scalable Edge Ai Solutions For The Internet Of Things

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Building Scalable Edge Ai Solutions For The Internet Of Things written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Building Scalable Edge AI Solutions for the Internet of Things" explores the convergence of IoT, edge computing, and AI, providing a practical guide to developing and deploying intelligent edge solutions. The book begins by establishing foundational concepts, explaining the limitations of cloud-centric IoT architectures and introducing the benefits of edge computing and Edge AI, such as reduced latency, bandwidth efficiency, and enhanced privacy. It then delves into the building blocks of Edge AI solutions, covering data acquisition and preprocessing techniques optimized for resource-constrained devices, model selection and compression strategies, and an overview of relevant frameworks and hardware platforms like MCUs, MPUs, GPUs, and FPGAs. The book further provides a practical development approach, detailing the steps from problem definition and data preparation to model training, evaluation, and deployment on edge devices. It emphasizes the importance of robust deployment strategies, including OTA updates, device management tools, and crucial security considerations. Finally, the book examines advanced topics like real-time Edge AI applications in industrial automation, robotics, and autonomous systems, along with scalability and orchestration strategies for large deployments. It concludes by exploring future trends, including emerging hardware and software, the role of 5G, and the ethical implications of Edge AI, advocating for responsible AI development.

Advancing Edge Artificial Intelligence

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Author : Ovidiu Vermesan
language : en
Publisher: CRC Press
Release Date : 2024-03-04

Advancing Edge Artificial Intelligence written by Ovidiu Vermesan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.

The intersection of AI, the Internet of Things (IoT) and edge computing has kindled the edge AI revolution that promises to redefine how we perceive and interact with the physical world through intelligent devices. Edge AI moves intelligence from the network centre to the devices at its edge, entrusting these endpoints to analyse data locally, make decisions, and provide real-time responses. Recent advances in power-efficient high-performance embedded silicon make edge AI a viable proposition, albeit one requiring new distributed architectures and novel design concepts. Moving decision-making closer to the edge makes responses faster and systems more reliable, while the constant pressure to reduce network bandwidth demand and the need to contain spiralling data storage and operations costs help justify the engineering investment necessary to embrace this new paradigm. Moving to decentralised operation opens the door to a multitude of novel applications, covering immersive technologies and autonomous systems across fields as diverse as healthcare and industrial automation, personal assistance and prognostics, surgery, and process control. In the best tradition of systems engineering, the first stage of this transition process is understanding the application domain for edge AI deployment, the ""system context"". This book presents some key topics and early thinking from the EdgeAI* project, covering data backhaul technologies, lifecycle management, mechanisms for developing AIs at the edge and techniques for interacting with those AIs. It provides examples of application domains before concluding with a review of how edge AI systems can be understood by their users. It also examines and presents new results based on current investigations and activities in edge AI technologies, considering the future trends in autonomic systems, hyperautomation, AI engineering, generative AI, connectivity, and cybersecurity mesh. This book aims to empower the reader with the knowledge and insights needed to understand and embrace the transformative power of edge AI technology. The extensively referenced chapters, contributed by experts and thought leaders in the field, are recommended to anyone interested in developing edge AI systems. *Edge AI Technologies for Optimised Performance Embedded Processing" (EdgeAI) Key Digital Technologies (KDT) Joint Undertaking (JU) European research project. https://https://edge-ai-tech.eu/

Edge Ai

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Author : Kits for Life
language : en
Publisher: Independently Published
Release Date : 2025-03-03

Edge Ai written by Kits for Life and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-03 with Computers categories.

Unlock the power of Edge AI-where artificial intelligence meets real-time decision-making without relying on the cloud. This comprehensive guide explores everything you need to know about Edge AI hardware, software frameworks, benefits, challenges, and real-world applications. Learn how to: ✅ Choose the right Edge AI hardware (NVIDIA Jetson, Google Coral, Intel Movidius, Raspberry Pi, TPUs, and FPGAs). ✅ Optimize AI models for low power consumption and high efficiency using quantization, pruning, and knowledge distillation. ✅ Implement Edge AI security best practices to protect sensitive data and prevent cyber threats. ✅ Deploy AI-powered solutions for smart surveillance, autonomous vehicles, healthcare, industrial automation, and more. ✅ Scale Edge AI systems by integrating with IoT, cloud computing, and enterprise infrastructure. Whether you're an AI developer, data scientist, or tech enthusiast, this SEO-optimized guide provides practical insights and step-by-step guidance to help you build and deploy cutting-edge AI solutions at the edge.