STMicroelectronics NanoEdge AI Studio machine-learning design software

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STMicroelectronics has expanded its NanoEdge AI Studio machine-learning design software with support for smart sensors that contain the company’s embedded Intelligent Sensor Processing Unit (ISPU). The latest release extends the tool’s capability to enable on-device learning of AI models for anomaly detection inside intelligent sensors.

Designers can now use the software to distribute inference workloads across multiple devices including microcontrollers (MCUs) and sensors with ISPUs in their systems, reducing application power consumption. Always-on sensors that contain the ISPU can perform event detection at low power, only waking the MCU when the sensor detects anomalies.

The tool provides a complete end-to-end automated workflow that should ease development of high-performing AI algorithms such as anomaly detection, classification and regression. Increasing convenience and efficiency, on-device learning also permits development without requiring an exhaustive dataset to manage pre-deployment training. In addition, support for incremental learning adds flexibility to complete partially trained models.

The libraries generated by the software can run on any STM32 MCU, from entry-level devices containing the Arm Cortex-M0 core to the high-performance MCUs containing the Cortex-M7 core. Support for ISPU-enhanced sensors includes the ISM330ISN 6-axis inertial measurement unit (IMU).

The latest version of the tool delivers support for embedded AI development that combines dedicated hardware, software, tools, sample code, support and training for developers.

For more information: https://www.st.com/nanoedgeaistudio.