Edge AI Breakthrough: C Implementation of Neural Network Predicts Nikkei Average

This is a fantastic development! By implementing a two-layer neural network in C for microcontrollers, the project demonstrates how to bring the power of AI to edge devices. This approach enables real-time market predictions using readily available hardware, showing an innovative way to apply AI.

• •The project uses C language to implement a neural network on microcontrollers (STM32/dsPIC).
• •The system takes foreign exchange data to predict the Nikkei stock average.
• •It demonstrates a model that can be trained on a PC and then deployed on an edge device without reliance on AI libraries.