Explores challenges in deep learning and machine learning applications, covering surveillance, privacy, manipulation, fairness, interpretability, energy efficiency, cost, and generalization.
Discusses ensuring continuous surveillance in constrained environments using control barrier functions and local sensors for robust tracking of intruders.
