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Learn about on-device anomaly detection for Industry 4.0 applications in this technical talk presented by STMicroelectronics experts He Huang and Pierrick Autret. Explore the capabilities of NanoEdge AI Studio, an auto-ML software solution that enables creation and deployment of machine learning models directly on edge devices without requiring pre-trained models. Discover how this technology revolutionizes predictive maintenance by detecting unusual patterns and behaviors in sensor data through on-device processing. Gain insights into the underlying algorithms powering NanoEdge AI Studio and examine practical implementations for industrial predictive maintenance scenarios. Master the intersection of tiny machine learning and industrial applications through this 57-minute presentation that demonstrates how to bring artificial intelligence capabilities to resource-constrained edge devices.
