Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging cutting-edge algorithms to interpret the extent of spillover effects between different matrix elements. This process improves our understanding of how information propagates within neural networks, leading to