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STM32Cube.AI: Convert Neural Networks into Optimized Code for STM32

Neural Networks

We launched STM32Cube.AI, the industry’s most advanced toolkit capable of interoperating with popular deep learning libraries to convert any artificial neural network for STM32 microcontrollers (MCU) to run optimized inferences. The software suite comprises the X-Cube expansion software X-CUBE-AI, the Function Pack FP-AI-SENSING1 that provides application examples for our SensorTile development kit (STEVAL-STLKT01V1), and updates to our ST BLE Sensor application for iOS and Android that offer a GUI and controls for the Function Pack’s demos. Releasing just these solutions would already be a groundbreaking announcement as there are no tools currently rivaling this feature set. However, STM32Cube.AI is much more than a simple toolkit, but the reflection of our desire to change the IoT landscape by bringing neural networks to all STM32 developers.

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Jyoti Gazmer

A Mass Comm. graduate believes strongly in the power of words. A book lover who dreams to own a library some day. An introvert but will become your closest friend if you share mutual feelings about COFFEE. I prefer having more puppies over humans.

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