Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging sophisticated algorithms to interpret the magnitude of spillover effects between distinct matrix elements. This process improves our knowledge of how information flows within neural networks, leading to mor