Breakthrough in gyroscopic stability prediction using transfer learning - a machine learning approach that combines physics-based calculations with data-driven corrections. Achieves 77.7% improvement over the traditional Miller formula while maintaining the ability to generalize to any bullet, even those never seen during training.