Prerequisites: Enrollment in a Master's or Doctoral program, or permission of the instructor.

Description: 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.