Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to assess the level of spillover effects between distinct matrix elements. This process improves our understanding of how information flows within mathematical networks, leading to be