Offered in partnership with Dell Technologies. This session introduces Physical AI, a class of AI systems that perceive, reason, and act in the physical world under real-world constraints such as latency, uncertainty, and safety. It examines the emerging model and system stack behind Physical AI, including perception models, world models, vision-language-action models, and behavior models, and explains how these components form closed-loop systems over time. The session also addresses key system challenges, including real-time execution, feedback loops, deployment outside controlled environments, and the gap between simulation and reality.

Level of Difficulty: Intermediate