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