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