Embedded artificial intelligence : devices, embedded systems, and industrial applications

Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information at the...

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Bibliographic Details
Other Authors Vermesan, Ovidiu (Editor), Nava, Mario Diaz (Editor), Debaillie, Bjørn (Editor)
Format Electronic eBook
LanguageEnglish
Published [United States] : River Publishers, [2022]
SeriesRiver Publishers series in communications and networking.
Subjects
Embedded computer systems.
Artificial intelligence.
Edge computing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9788770228206
8770228205
9781003394440
1003394442
9781000881912
1000881911
1000882039
9781000882032
9788770228213
Physical Description1 online resource.

Cover

Table of Contents:
  • Preface ix Editors Biography xiii List of Figures xv List of Tables xxiii 1. Power Optimized Wafermap Classification for Semiconductor Process Monitoring 1 2. Low-power Analog In-memory Computing Neuromorphic Circuits 15 3. Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators 25 4. Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3DInference Engine Applications 37 5. Generating Trust in Hardware through Physical Inspection 45 6. Meeting the Latency and Energy Constraints on Timingcritical Edge-AI Systems 61 7. Sub-mW Neuromorphic SNN Audio Processing Applications with Rockpool and Xylo 69 8. An Embedding Workflow for Tiny Neural Networks on Arm Cortex-M0 Cores 79 9. Edge AI Platforms for Predictive Maintenance in Industrial Applications 89 10. Food Ingredients Recognition Through Multi-label Learning 105 Index 117.

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