ADI whitepaper: physical AI needs more than models

ADI's whitepaper arrives as manufacturers look to move AI beyond software and into production machinery. The company argues that unlike software, physical systems face timing constraints, changing conditions and the consequences of action, so the supporting technologies matter as much as the model. To illustrate the difference, ADI contrasts a machine that shuts down when vibration crosses a preset limit with one that reads vibration, temperature, current and motor behavior, recognizes bearing wear and adjusts before failure. That distinction, ADI says, helps explain why physical AI has become closely watched in manufacturing. The company also notes it is participating in the Robotics Startup Boot Camp Part 2 at RoboBusiness, where industry leaders will discuss opportunities and challenges of working together.