Must be in the Graduate Program in Computer Science. All other graduate students must request permission.

This course delves into advanced machine learning techniques for physical sensing and real-world perception. Topics include multimodal 3D volumetric rendering with physics-informed priors, ultra-low-power navigation with metamaterial sensing, urban localization via wireless signal patterns, sparse sensing for underwater imaging, and integrating spatial knowledge into language models for perception-aware AI.