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