Edge AI: The Future of Intelligent Computing at the Device Level - Couverture souple

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9798312825503: Edge AI: The Future of Intelligent Computing at the Device Level
Couverture souple
ISBN 13 : 9798312825503
Editeur : Independently published, 2025

Synopsis

Edge AI: Build, Deploy, and Optimize Real-Time AI Solutions at the Edge

Unlock 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 scientists, 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 solutions

  • Data scientists optimizing models for embedded devices

  • Tech professionals exploring IoT, robotics, and autonomous systems

  • Students and enthusiasts aiming to master cutting-edge AI technologies

SMART 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

🚀 Embrace the future of AI—build, deploy, and optimize intelligent solutions at the edge today!

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798312825503
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

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