Building Scalable Edge Ai Solutions For The Internet Of Things
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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.
Intelligent Computing
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Author : Kohei Arai
language : en
Publisher: Springer Nature
Release Date : 2025-08-13
Intelligent Computing written by Kohei Arai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-13 with Computers categories.
This book compiles a curated selection of insightful, rigorously researched, and state-of-the-art papers presented at the Computing Conference 2025, hosted in London, UK, on June 19–20, 2025. Drawing submissions from across the globe, the conference received 473 papers, each subjected to a stringent double-blind peer-review process. Of these, 169 papers were accepted for inclusion, reflecting exceptional scholarship and innovation across disciplines such as IoT, artificial intelligence, computing, data science, networking, data security, and privacy. Researchers, academics, and industry leaders converged to share pioneering ideas, transformative methodologies, and practical solutions to real-world challenges. By bridging academic theory and industrial application, the conference catalyzed opportunities for knowledge synthesis and interdisciplinary progress. The diverse contributions within this proceedings not only address contemporary technological issues but also anticipate future trends, offering frameworks for continued exploration. We trust this collection will serve as an indispensable reference for researchers, practitioners, and policymakers navigating the evolving landscapes of computing and digital innovation. As we reflect on the conference’s outcomes, we are confident that the insights and collaborations forged here will inspire sustained advancements in these critical fields. May the ideas within these pages spark further inquiry, drive technological evolution, and contribute meaningfully to solving the challenges of our interconnected world.
Securing The Internet Of Things Iot Cybersecurity Of Connected Devices
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Author : Silviu Ciuta
language : en
Publisher: Silviu Ciuta
Release Date :
Securing The Internet Of Things Iot Cybersecurity Of Connected Devices written by Silviu Ciuta and has been published by Silviu Ciuta this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity. These devices can collect and exchange data, enabling them to interact with each other and with their environment. The significance of IoT lies in its ability to enhance efficiency, provide valuable insights through data analytics, and improve automation in various sectors, ranging from healthcare and agriculture to smart cities and industrial processes. The use of IoT devices has proliferated across diverse sectors, including healthcare, agriculture, transportation, manufacturing, and smart homes. These devices offer benefits such as real-time monitoring, predictive maintenance, and improved decision-making. However, the widespread deployment of IoT devices also raises security concerns due to the interconnected nature of these systems. The interconnected nature of IoT introduces security challenges as it expands the attack surface. Vulnerabilities in one device can potentially compromise the entire network, leading to data breaches, unauthorized access, and disruptions to critical services. Common vulnerabilities in IoT devices include insecure firmware, weak authentication mechanisms, insufficient encryption, and susceptibility to physical tampering. These vulnerabilities can be exploited by attackers to gain unauthorized access, manipulate data, or launch attacks on other devices. Insecure firmware can be a major security risk, as it may contain vulnerabilities that can be exploited by attackers. Weak authentication mechanisms can lead to unauthorized access, while the lack of encryption can expose sensitive data to interception and manipulation. Real-world examples of IoT security breaches include incidents where attackers compromised smart home devices, industrial control systems, or healthcare devices to gain unauthorized access, manipulate data, or disrupt operations. These breaches highlight the need for robust security measures in IoT deployments. Securing IoT networks is challenging due to the diverse nature of devices, varying communication protocols, and the sheer volume of data generated. Additionally, many IoT devices have resource constraints, making it difficult to implement robust security measures. Firewalls, intrusion detection systems (IDS), and network segmentation play crucial roles in IoT security. Firewalls help filter and monitor traffic, IDS detects unusual behavior, and network segmentation limits the impact of a breach by isolating compromised devices from the rest of the network. Implementing strong encryption protocols, ensuring secure key management, and regularly updating device firmware are key best practices for safeguarding communication between IoT devices. Additionally, using secure communication protocols such as TLS/SSL enhances the integrity and confidentiality of data. Data generated by IoT devices often includes sensitive information about individuals, their habits, and their environments. Protecting this data is crucial to maintain user privacy and prevent unauthorized access.
Smart Cyber Physical Systems
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Author : Ramesh Chandra Poonia
language : en
Publisher: Springer Nature
Release Date : 2025-07-13
Smart Cyber Physical Systems written by Ramesh Chandra Poonia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-13 with Computers categories.
This book discusses the outcome of the ICSCPS 2024 conference proceedings which provide a comprehensive exploration of Smart Cyber-Physical Systems (CPS), delivering deep into the intersection of the physical and digital worlds. The book is a must-read for researchers, engineers, students, and professionals seeking to understand and harness the power of CPS in today's technology-driven landscape. This conference's main topics encompass CPS's foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. It unravels the intricacies of sensors and actuators, shedding light on their design and applications in various domains. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.
Merging Artificial Intelligence With The Internet Of Things
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Author : Tariq, Muhammad Usman
language : en
Publisher: IGI Global
Release Date : 2025-05-08
Merging Artificial Intelligence With The Internet Of Things written by Tariq, Muhammad Usman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.
Artificial intelligence (AI) and the Internet of Things (IoT) converge to create smart, interconnected systems. This intelligent connectivity enhances the efficiency and innovation of the systems with greater automation, improved decision-making capabilities, and faster reaction times. By amplifying each other, they can transform engineering, security, and management in numerous settings. As a result, their blending is shaping the future of technology in smart cities, healthcare, agriculture, and other sectors. Merging Artificial Intelligence With the Internet of Things stimulates further research into AIoT applications and provides a robust framework for teaching the next generation of tech innovators. By presenting a blend of theoretical knowledge and practical case studies, it bridges the gap between academia and industry, encouraging interdisciplinary research and collaboration. Covering topics such as bio-inspired algorithms, clinical care, and food security, this book is an excellent resource for technology professionals, technology developers, industry leaders, policymakers, professionals, researchers, scholars, academicians, and more.
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.
The Evolution Of Telecommunications
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Author : Ron Legarski
language : en
Publisher: SolveForce
Release Date : 2024-08-29
The Evolution Of Telecommunications written by Ron Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Technology & Engineering categories.
"The Evolution of Telecommunications: From Analog to Digital and Beyond" is an in-depth exploration of the telecommunications industry, tracing its history from the earliest forms of communication to the cutting-edge technologies that define the modern era. Written by Ron Legarski, a seasoned expert with over two decades of experience in the field, this book offers a comprehensive analysis of the technological advancements, industry shifts, and global events that have shaped telecommunications over the years. The book delves into the transformation from analog to digital communication, the rise of the internet, and the ongoing development of 5G and beyond. It covers critical topics such as the impact of AI, IoT, and edge computing on telecommunications, the role of quantum communication in securing networks, and the challenges posed by global events like the COVID-19 pandemic. In addition to historical context, "The Evolution of Telecommunications" provides detailed case studies of major companies and innovations, examining how industry leaders like AT&T, Verizon, and Nokia have navigated the changing landscape. It also explores the societal implications of telecommunications, including its role in driving economic growth, improving quality of life, and addressing global challenges like climate change and digital inclusion. With detailed appendices that include a glossary of key terms, a timeline of significant developments, and additional resources for further study, this book serves as both a comprehensive guide and a valuable reference for professionals, students, and anyone interested in the future of telecommunications. Whether you’re a telecommunications professional, a technology enthusiast, or simply curious about how the world stays connected, "The Evolution of Telecommunications" offers a thorough understanding of the forces that continue to shape our increasingly digital world.
Generative Ai With Langchain
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Author : Dr. Priyanka Singh
language : en
Publisher: BPB Publications
Release Date : 2025-04-25
Generative Ai With Langchain written by Dr. Priyanka Singh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
DESCRIPTION AI is redefining how businesses solve problems, automate decisions, and deliver value. LangChain, an emerging framework, streamlines the integration of large language models into real-world applications, making AI more actionable and accessible. Unlock the power of cutting-edge AI with LangChain, a revolutionary Python framework designed to simplify the creation of sophisticated AI applications. This book begins with the foundational knowledge of AI and LangChain, followed by practical tools like Python, neural networks, and cloud platforms such as AWS and Azure. You will explore LangChain’s architecture and gain hands-on experience integrating LangChain with leading cloud platforms. You will discover how to leverage powerful data science tools like Snowflake and Athena for real-world AI projects. You will analyze AI applications in modern operational frameworks, such as DevOps and MLOps, and gain insights into the exciting future trends, ethical AI practices, and real-world deployment strategies that are shaping the evolution of AI and LangChain. By the end of this book, readers will confidently design, develop, and deploy intelligent AI applications using LangChain. You will be equipped to solve real-world problems through scalable, cloud-integrated AI systems with strong coding, deployment, and data-handling skills. WHAT YOU WILL LEARN ● Understand AI fundamentals, LangChain's architecture, ethical AI, and Python setup. ● Master Python basics, control structures, functions, and modules for AI development. ● Explore LangChain's core components, workflow, and practical implementation in AI. ● Apply AI, including LangChain, in DevOps and MLOps for automation and efficiency. ● Explore future AI trends, LangChain's evolving role, and ethical considerations. ● Integrate LangChain with AWS services for scalable AI deployment and management. ● Utilize Snowflake and Athena with LangChain for real-world data-driven AI projects. WHO THIS BOOK IS FOR This book is ideal for software developers, AI enthusiasts, data scientists, DevOps engineers, and tech professionals aiming to gain practical skills in AI implementation using LangChain. Educators and students in computer science will also benefit from its hands-on guidance. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence and LangChain 2. Getting Started with Python 3. Understanding LangChain Basics 4. Neural Network with LangChain 5. LangChain and AWS Integration 6. LangChain and Azure Integration 7. Real-world Data Science with Snowflake and Athena 8. AI in DevOps and MLOps 9. Future Trends in AI and LangChain APPENDIX 1: Additional Resources and References APPENDIX 2: Glossary of Terms
Impact And Potential Of Machine Learning In The Metaverse
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Author : Mehta, Shilpa
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Impact And Potential Of Machine Learning In The Metaverse written by Mehta, Shilpa and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Computers categories.
In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.