Summary:
- Researchers have developed a new technique to analyze the internal representations of machine learning models, which are often seen as "black boxes."
- By visualizing the shapes and patterns that emerge in the hidden layers of these models, scientists can better understand how the models process and interpret information.
- This approach provides valuable insights into the decision-making process of AI systems, which can help improve their performance and transparency.