Summary Applied physics and theoretical physics have different immediate purposes, but they do not advance independently. Theoretical work proposes general relationships; applied work tests, realizes, and extends physical knowledge under material constraints. Between them lie mathematical models, experiments, instruments, computation, engineering, and repeated revision. A useful framework is Theory -> Model -> Measurement -> System…

Introduction Artificial intelligence in education is often discussed through generative tools: writing assistants, tutors, image generators, learning analytics, and automated feedback. This is Digital AI operating mainly through information. A second development is equally important. Physical AI connects computation to sensors, actuators, machines, and material environments. It may take the form of a robot, autonomous…

Physical AI is a systems problem Physical AI couples computation to bodies and environments. Its outputs may become motion, contact force, heat, resource consumption, and risk. Prediction accuracy therefore cannot be the only design criterion. A robot must act within equations of motion, geometric and contact constraints, uncertain measurements, closed-loop stability requirements, and finite energy.…