Hello everyone,
I’m an embedded software engineer currently working with STM32 microcontrollers, and I am very interested in understanding how AI is being integrated into embedded systems.
I would like to know:
What are the common approaches or frameworks used to bring AI into embedded devices?
What would be a good roadmap or step-by-step procedure to start learning and building AI-enabled embedded projects?
My goal is to upskill into Embedded AI Engineering and eventually work on real-world AI applications on resource-constrained devices.
Any guidance, resources, or personal experiences would be highly appreciated.
Thank you!
Hello, there are many resources on this topic, from both Arm and ST:
https://www.arm.com/markets/iot/edge-ai
https://stm32ai.st.com/
Arm provides a number of ready-to-use examples to help get you started:
https://github.com/Arm-Examples/mlek-cmsis-pack-examples
Hi Ronan,Thanks for your guidance.