Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to assess the extent of spillover effects between distinct matrix elements. This process enhances our understanding of how information here propagates within mathematical networks, leadin