Physical AI: The Real Race Moves from Cloud to Machines, Redefining Intelligence

• AI is shifting from cloud-first, model-centric approaches to "Physical AI" embedded directly into products, machines, and operational systems interacting with the physical world.
• Physical AI systems operate in a closed loop: sensing environments, analyzing signals with focused models, taking real-time action, and learning from outcomes for continuous improvement.
• Many small, specialized AI models often outperform a single large model in physical systems, optimizing for specific scenarios, reducing latency, and operating efficiently on devices.
• Embedded intelligence drives product differentiation (e.g., professional cameras) and enhances safety/efficiency in critical industrial facilities through robotics and real-time assessment.
• Custom silicon and purpose-built system-on-chip designs are vital for making autonomous and embedded AI economically viable by addressing power, space, and thermal constraints.