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