Dear community members,
Here’s your chance to win some prizes from ST until November 29, 2024!
You can join the challenge by sharing your ISPU neural network implementation. We’ll provide instructions and hints during the ISPU webinar held on October 29, 2024.
Your proposal must relate to embedding a neural network on an ST MEMS sensor with ISPU.
The ISPU is an ultralow power, computationally efficient, high-performance programmable core that can execute signal processing and AI algorithms in the edge.
It is available in the LSM6DSO16IS and ISM330IS sensors from STMicroelectronics.
Simply create a comment in this thread. You can also attach files to document your solution (.log, .mp4, .docx, .jpg, .png, .xlsx, .7z, .hex, .c, .cpp, .zip).
Use the “kudos” button on ideas or implementations from other members to indicate that you like them. Everybody can vote on implementations and ideas, and the most voted one will win the prize.
The following guidelines can help you come up with implementations and ideas to share in this thread:
- Implement a new neural network model for ISPU (for instance starting from examples available on GitHub and model zoo).
- Try to optimize and deploy the neural network model on ISPU with MEMS Studio, ST Edge AI Core, or ST Edge AI Developer Cloud.
- Share performance results (accuracy, model size, code size, model parameters, inference time, etc.) of the created model and ISPU configuration.
We will review your solutions on November 29, 2024 and send a PM to the winner of the challenge to get your information regarding shipment.
The challenge ends November 29, 2024, but your ideas and implementations are of course always welcome, even after the challenge!
