Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to interpret the extent of spillover effects between separate matrix elements. This process enhances here our knowledge of how information flows within neural networks, leading to bett