Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a innovative solution by leveraging powerful algorithms to assess the level of spillover effects between separate matrix elements. This process improves our understanding of how information transmits within mathematical networks, leading to i