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Explore a hands-on demonstration of rapidly implementing anomaly detection on STM32 microcontrollers using the NanoEdge AI Studio tool in this 26-minute video tutorial. Learn to develop an Anomaly Detection use case and generate a library for integration within STM32 MCU embedded applications. Ideal for those interested in quick AI implementation on STM32 MCUs and engineers seeking tools to automate the machine learning process. Requires a STEWAL-STWINKT1B board, USB cables, and a Windows PC with NanoEdge AI Studio installed. Access workshop materials and prerequisites through provided links. Engage with the STMicroelectronics community forum for questions and share feedback via the anonymous survey.
