1、2023EDGE AITECHNOLOGYREPORTThe Guide to Understanding the State of the Art in Hardware&Software in Edge AI.IntroductionChapter I:Overview of Industries and Application Use Cases Industrial&Manufacturing Healthcare Consumer Products Transportation Smart Cities Smart HomeChapter II:Advantages of Edge

2、AI From Cloud to Edge AI Edge AI Advantages Cloud/Edge Computing Continuum:A Powerful CombinationChapter III:Edge AI Platforms TensorFlow Lite PyTorch Mobile OpenVINO NVIDIA Jetson Edge Impulse Caffe2 MXNet Chapter IV:Hardware&Software Selection Hardware Considerations Software Considerations Integr

3、ation Considerations Security Considerations Chapter V:TinyML Introducing TinyML TinyML Advantages and Challenges Tools and Techniques for TinyML Development TinyML in Action:How GreenWaves Enable Next-Generation Products The New Kid on the Block Chapter VI:Edge AI Algorithms Classification Algorith

4、ms Support Vector Machines Random Forest Convolutional Neural Networks Detection Algorithms Object-Detection Algorithms Anomaly-Detection Algorithms Event-Detection Algorithms Face-Recognition Algorithms Segmentation Algorithms Tracking AI Algorithms Temporal Event-based Neural Nets(TENNs)Vision Tra

5、nsformers Harmonizing Algorithms with Hardware 48911121314161818192124252526262627283032353637383839394142444546464646464849505152535353Chapter VII:Sensing Modalities Vision-Based Sensing Modalities Audio-Based Sensing Modalities Environmental Sensing Modalities Data Collection Simplified:How Sparkf

6、un Enables Data Logging Other Sensing Modalities Chapter VIII:Case Studies Interview with ST:A Glimpse into Edge AI From STs Perspective Sensory Inc.-Revolutionizing User Experience with Voice-Activated AI Technologies Pachama-Predicting carbon capture in forests Activ Surgical-Real-time surgical vi