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 understanding of how information transmits within neural networks, leading to better