NobbyIn the field of high-performance embedded systems, traditional numerical methods often struggle with computational overhead. I have been working on a physics ai solver project that leverages deep learning to approximate complex physical phenomena with minimal latency.
This tool is designed to assist researchers in solving differential equations and kinematic models more efficiently than standard solvers. By deploying these models on NPU-accelerated hardware like the RK3588, we can achieve real-time physics inference at the edge. If you are looking for a robust physics ai solver or wish to discuss the deployment of scientific AI models on Firefly boards, feel free to visit my project page for a live demonstration.
