Matrix spillover quantification evaluates a crucial challenge in complex learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to analyze the level of spillover effects between different matrix elements. This process improves our insights of how information transmits within neural networks, leading to improved mode