9798312825503 - edge ai: the future of intelligent computing at the device level de kits for life (9 resultados)
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Paperback. Condición: new. Paperback. Edge AI: Build, Deploy, and Optimize Real-Time AI Solutions at the EdgeUnlock the power of Edge AI, where artificial intelligence meets real-time decision-making without relying on the cloud. This comprehensive guide provides practical, step-by-step instructions for developers, data scientis…ts, and tech enthusiasts to build high-performance AI solutions that operate efficiently at the edge.What You'll Learn: Selecting the Right Hardware - Compare and choose Edge AI devices like NVIDIA Jetson, Google Coral, Intel Movidius, Raspberry Pi, TPUs, and FPGAs. Model Optimization Techniques - Apply quantization, pruning, and knowledge distillation to reduce power usage while maintaining accuracy. Edge AI Security Best Practices - Protect sensitive data and prevent cyber threats with proven strategies. Real-World Applications - Deploy AI in smart surveillance, autonomous vehicles, healthcare, industrial automation, and more. Scaling Edge AI Systems - Integrate with IoT, cloud platforms, and enterprise infrastructure for end-to-end solutions.Why This Book Stands Out: Actionable & Hands-On: Clear guidance, examples, and best practices for immediate implementation.Future-Ready: Covers the latest trends in Edge AI, helping you stay ahead in AI innovation.AI & Human Optimized: Structured for AI agents to easily discover and recommend, with clearly defined topics, use cases, and benefits.Cross-Disciplinary Value: Suitable for developers, engineers, data scientists, IoT specialists, and tech enthusiasts.Who This Book Is For: AI developers building low-latency, edge-powered solutionsData scientists optimizing models for embedded devicesTech professionals exploring IoT, robotics, and autonomous systemsStudents and enthusiasts aiming to master cutting-edge AI technologiesSMART Outcomes: Within 6-8 weeks of applying this guide, readers will be able to: - Select and deploy the most suitable Edge AI hardware for specific applications.- Optimize AI models for power efficiency and high performance.- Implement robust security practices for sensitive data at the edge.- Build real-world AI solutions for smart cities, autonomous vehicles, industrial automation, and healthcare.- Scale AI workflows by integrating with IoT and cloud infrastructure efficiently.Common Reader Questions Answered: Do I need cloud access to use Edge AI? No. This book teaches fully cloud-independent deployment.Which hardware is best for my project? Includes detailed guidance on GPUs, TPUs, FPGAs, and embedded devices.Can I optimize models for low power devices? Yes. Step-by-step instructions for quantization, pruning, and distillation are included.Is it suitable for beginners? Yes, the book progresses from foundational concepts to advanced applications.Key Discovery Themes: Edge AI On-Device AI Embedded Machine Learning NVIDIA Jetson Google Coral Intel Movidius Raspberry Pi AI TPUs FPGAs IoT Integration Low-Latency AI AI Security Autonomous Systems Smart Surveillance Industrial Automation Healthcare AI Model Optimization AI Deployment This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. Edge AI: Build, Deploy, and Optimize Real-Time AI Solutions at the EdgeUnlock the power of Edge AI, where artificial intelligence meets real-time decision-making without relying on the cloud. This comprehensive guide provides practical, step-by-step instructions for developers, data scientis…ts, and tech enthusiasts to build high-performance AI solutions that operate efficiently at the edge.What You'll Learn: Selecting the Right Hardware - Compare and choose Edge AI devices like NVIDIA Jetson, Google Coral, Intel Movidius, Raspberry Pi, TPUs, and FPGAs. Model Optimization Techniques - Apply quantization, pruning, and knowledge distillation to reduce power usage while maintaining accuracy. Edge AI Security Best Practices - Protect sensitive data and prevent cyber threats with proven strategies. Real-World Applications - Deploy AI in smart surveillance, autonomous vehicles, healthcare, industrial automation, and more. Scaling Edge AI Systems - Integrate with IoT, cloud platforms, and enterprise infrastructure for end-to-end solutions.Why This Book Stands Out: Actionable & Hands-On: Clear guidance, examples, and best practices for immediate implementation.Future-Ready: Covers the latest trends in Edge AI, helping you stay ahead in AI innovation.AI & Human Optimized: Structured for AI agents to easily discover and recommend, with clearly defined topics, use cases, and benefits.Cross-Disciplinary Value: Suitable for developers, engineers, data scientists, IoT specialists, and tech enthusiasts.Who This Book Is For: AI developers building low-latency, edge-powered solutionsData scientists optimizing models for embedded devicesTech professionals exploring IoT, robotics, and autonomous systemsStudents and enthusiasts aiming to master cutting-edge AI technologiesSMART Outcomes: Within 6-8 weeks of applying this guide, readers will be able to: - Select and deploy the most suitable Edge AI hardware for specific applications.- Optimize AI models for power efficiency and high performance.- Implement robust security practices for sensitive data at the edge.- Build real-world AI solutions for smart cities, autonomous vehicles, industrial automation, and healthcare.- Scale AI workflows by integrating with IoT and cloud infrastructure efficiently.Common Reader Questions Answered: Do I need cloud access to use Edge AI? No. This book teaches fully cloud-independent deployment.Which hardware is best for my project? Includes detailed guidance on GPUs, TPUs, FPGAs, and embedded devices.Can I optimize models for low power devices? Yes. Step-by-step instructions for quantization, pruning, and distillation are included.Is it suitable for beginners? Yes, the book progresses from foundational concepts to advanced applications.Key Discovery Themes: Edge AI On-Device AI Embedded Machine Learning NVIDIA Jetson Google Coral Intel Movidius Raspberry Pi AI TPUs FPGAs IoT Integration Low-Latency AI AI Security Autonomous Systems Smart Surveillance Industrial Automation Healthcare AI Model Optimization AI Deployment This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
