AIBullisharXiv – CS AI · 8h ago6/10
🧠
Curvature-aware dynamic precision approach for physics-informed neural networks
Researchers propose a curvature-aware dynamic precision controller for physics-informed neural networks (PINNs) that automatically switches between single-precision (FP32) and double-precision (FP64) during training. The method matches full FP64 accuracy while reducing computational costs, addressing a critical trade-off in simulating complex physical systems.