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