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