TinyML

Revolutionizing Embedded AI for Intelligent Devices

Inbunden, Engelska, 2027

AvS. Karthika,Balamurugan Balasamy,Chithirai Pon Selvan,Feslin Anish Mon

2 079 kr

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A contemporary discussion of real-world TinyML development In TinyML: Revolutionizing Embedded AI for Intelligent Devices, a team of distinguished researchers delivers an expert, up-to-date discussion of the practical applications of TinyML. The authors explain how to develop smart systems that learn and make decisions at the place of action on tiny, low-power devices. Readers will learn how to create systems that act without access to high-speed internet connectivity. Beginning with explanations of the fundamentals of TinyML, the hardware it runs on, and how to collect and prepare the data required to run applications, the book goes on to discuss neural networks, model training, and the wide array of real-world applications and examples of the technologies. Readers will also discover: A thorough introduction to the data privacy and security problems inherent in TinyML developmentComprehensive explorations of the hands-on techniques required to develop TinyML applicationsPractical discussions of the hardware and software ecosystems in which TinyML development occursComplete treatments of clustering, neural network architectures, and likely future developments in those areasPerfect for data scientists and machine learning engineers, TinyML will also benefit embedded systems engineers, IoT developers, and students of computer science, electrical engineering, and robotics.

Produktinformation

Utgivningsdatum2027-02-01
FormatInbunden
SpråkEngelska
Antal sidor384
FörlagJohn Wiley & Sons Inc
ISBN9781394351374

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S. Karthika is an Associate Professor in the Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering. Balamurugan Balusamy is an Associate Dean Student in Shiv Nadar University, Delhi-NCR Chithirai Pon Selvan has over twenty-five years’ experience teaching engineering students. He’s a Senior Fellow of the Higher Education Academy in the UK. Feslin Anish Mon is a researcher specializing in trust-based security in Internet of Things networks. He works in the Department of Information Technology at the University of Technology and Applied Sciences, Ibri Branch.

Part I: Foundations of TinyML and Edge AIChapter 1: A Primer on TinyML: Revolutionizing Embedded AI for Intelligent DevicesChapter 2: Hardware and Software Ecosystem for TinyML - Cross Platform Deployment of ModelsChapter 3: Smart Data Acquisition and Preprocessing for Resource-Constrained EnvironmentsChapter 4: AI-Centric Architectures for TinyML: Revolutionizing Edge Intelligence with Optimized Hardware SolutionsPart II: Building and Optimizing TinyML ModelsChapter 5: Clustering Distributed Edge Devices Using Scalable AIChapter 6: Optimization at Edge Using AI Techniques: Pruning, Quantization, and Knowledge DistillationChapter 7: Neural Network Architecture for Ultra-Low-Power Intelligent Edge SystemsPart III: Analyzing and Evaluating TinyML ModelsChapter 8: Analysis of Optimization Algorithms for Efficient TinyML Model PerformanceChapter 9: Evaluation Frameworks, Metrics, and Benchmarks for TinyML ApplicationsPart IV: TinyML ApplicationsChapter 10: TinyML for Healthcare and Biomedical ApplicationsChapter 11: Advancing Sustainable Intelligence through an Unified Framework at the Edge by Utilizing TinyML for Environmental MonitoringChapter 12: TinyML for Industrial Automation and Predictive MaintenanceChapter 13: TinyML for Computer Vision and Image ProcessingChapter 14: Impact of Tiny Machine Learning on Embedded Systems for Advanced Image ProcessingChapter 15: TinyML for Audio and Speech ProcessingPart V: Advanced Topics in TinyMLChapter 16: Mitigation Strategies for Enhancing Security and Privacy in TinyML SystemsChapter 17: Compliance, Data Security, Law and Ethical AI Regulation in Decentralized Approached using TinyML