Edge AI Performance with Android Kotlin

Master the Art of High-Performance Edge AI on Android

Push the boundaries of mobile intelligence with Volume 2: Edge AI Performance with Android Kotlin. This masterclass volume moves beyond basic model execution to explore the deep hardware orchestration required to run complex neural networks at 60 FPS on mobile silicon.

In this book, Edgar Milvus provides an engineering-first approach to optimizing AI workloads. You will learn to navigate the "Memory Wall", handle Thermal Throttling, and master the heterogeneous compute landscape of modern Android SoCs.

What's Inside:

• Hardware Acceleration: Deep dives into targeting NPUs, GPUs, and DSPs via NNAPI and AICore.
• Advanced Quantization: Techniques for INT8 and FP16 Post-Training Quantization and Quantization-Aware Training (QAT).
• Model Pruning & Sparsity: Reducing model complexity while maintaining accuracy for high-speed inference.
• NDK & C++ Optimization: Writing custom operations in C++ to achieve zero-copy image processing performance.
• Real-time Vision & Audio: Architecting pipelines for 60 FPS video segmentation and low-power audio sentinels.
• Modern Kotlin Integration: Using Kotlin 2.x Context Receivers, Flow, and Coroutines for high-concurrency AI tasks.

Build Production-Ready AI Features

From Knowledge Distillation to Thermal-Aware Schedulers, this volume provides the practical exercises and professional-grade code snippets needed to ship AI-powered apps that are fast, battery-efficient, and thermally stable.

Whether you are a Senior Android Developer or an ML Engineer, this book is your definitive guide to the "Last Mile" of mobile AI deployment.