Overview

What happens to your AI when the satellite uplink dies, the cell tower vanishes, and the device is left alone in the dust? Three years ago, a computer-vision model deployed to a rural Ethiopian clinic became a brick within seventy-two hours-not because the algorithm failed, but because it had been architected to phone home for every inference. That is not a deployment glitch. It is an architectural failure. We have spent a decade building artificial intelligence as if bandwidth were a law of physics. This book rejects that assumption entirely. Offline-first AI treats connectivity as a transient, unpredictable resource and demands systems that reason, learn, and adapt in complete isolation. When the connection returns, they synchronize. When it vanishes, they endure. Inside, you will learn how to: - Shrink neural networks into megabytes of flash without sacrificing the accuracy users actually trust - Resolve conflicts between locally generated training data and globally updated model weights automatically-no human intervention required - Harden model integrity and user privacy on hardware that is physically accessible to adversaries - Deploy production systems that survive dust storms, ocean swells, and connectivity dead zones using proven patterns from medical diagnostics, maritime maintenance, and agricultural autonomy - Build observability and telemetry pipelines that function when there is no dashboard to phone home to If you are shipping AI to mines, ships, farms, or disaster zones-or if you have already watched a $50,000 edge deployment fail because someone assumed Wi-Fi was a constant-this is the technical blueprint for building intelligence that survives without a safety net. The network is a luxury. Your model is not. Build AI that works everywhere, not just everywhere connected.

Full Product Details

9798259289444

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available