Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging sophisticated algorithms to assess the magnitude of spillover effects between different matrix elements. This process boosts our understanding of how information transmits within mathematical networks, leading to