Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to interpret the magnitude of spillover effects between distinct matrix elements. This process boosts our understanding of how information flows within mathematical networks, leading to im