Multimodal Data Tools

Keith and Tim discuss the importance of having tools to handle multimodal data effectively, highlighting the need for utilizing diverse data sources like vision and lidar in self-driving cars. They delve into the concept of causal models and their immunity to adversarial examples, emphasizing the significance of understanding causal relationships in machine learning models.