Artificial Neural Networks on General Purpose Microcontrollers
Thanks to ST’s new set of Artificial Intelligence (AI) solutions, you can now map and run pre-trained Artificial Neural Networks (ANN) using the broad STM32 microcontroller portfolio.
Contact us at edge.ai@st.com to find out more on how you can run edge AI applications on STM32 microcontrollers and application processors.
Artificial Neural Networks on Automotive Microcontrollers
Thanks to ST’s SPC5Studio.AI component for our fully customizable SPC5Studio Eclipse development environment, you can now convert, analyze and deploy automotive neural network models on our SPC58 Chorus automotive microcontrollers.
Machine Learning on Sensors
Advanced sensors, such as the LSM6DSOX (IMU), contain a machine learning core, a Finite State Machine (FSM) and advanced digital functions to provide to the attached STM32 or application central system capability to transition from ultra-low power state to high performant high accuracy AI capabilities for battery operated IoT, gaming, wearable technology and consumer electronics.