Matrix spillover quantification measures a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to analyze the magnitude of spillover effects between separate matrix elements. This process enhances our knowledge of how information transmits within neural networks, leading to more mode