Embedded Artificial Intelligence: Devices, Embedded Systems, and Industrial Applications (Hardcover)

1. Power Optimised Wafermap Classification for Semiconductor Process Monitoring 2. Low-Power Analog In-memory Computing Neuromorphic Circuits 3. Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators 4. Low-power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3D-Inference Engine Applications 5. Generating Trust in Hardware through Physical Inspection 6. Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems 7. Sub-mW Neuromorphic SNN Audio Processing Applications with Rockpool and Xylo 8. An Embedding Workflow for Tiny Neural Networks on ARM Cortex-M0(+) Cores 9. Edge AI Platforms for Predictive Maintenance in Industrial Applications 10. Food Ingredients Recognition Through Multi-label Learning