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