Edge AI Breakthrough: C-Language Neural Network Predicts Nikkei Average on Microcontrollers
research#inference📝 Blog|Analyzed: Feb 14, 2026 03:37•
Published: Feb 8, 2026 09:55
•1 min read
•Qiita DLAnalysis
This is a fantastic demonstration of bringing deep learning to the edge! The ability to run a 2-layer neural network, trained on Python, on resource-constrained microcontrollers like STM32 and dsPIC using pure C code, opens up exciting possibilities for real-time financial analysis and embedded AI applications.
Key Takeaways
- •Successfully implemented a 2-layer neural network in C for microcontrollers (STM32/dsPIC).
- •The model predicts the Nikkei average based on Dollar/Yen exchange rates, demonstrating real-world application.
- •Achieved consistent inference results across 32-bit and 16-bit microcontrollers using a generalized C code approach.
Reference / Citation
View Original"By using generic C code, the model learned on PC (Python) was ported to both STM32 (32bit) and dsPIC (16bit) with different architectures, and the same inference results were obtained."