""You train on things that you see, things that you sense, things that you do," he explained."
""When you think about assisted driving and autonomous driving, that's a physical AI problem. You have sensors and cameras observing everything around you and telling the car where to go and when. We're actually super excited about that.""
""You cannot put a server in the trunk of a car," he said. "It consumes too much power and takes away from the car's energy.""
Physical AI shifts artificial intelligence from digital-only tasks into machines that sense, think, and act within the physical world. Physical AI relies on real-time sensor data and training on observed, sensed, and performed actions. It enables robots and self-driving cars to handle complex tasks, adapt to changing environments, and make split-second decisions while moving and interacting with surroundings. Automotive applications such as assisted and autonomous driving exemplify physical AI, using sensors and cameras to perceive the environment and guide vehicles. Increasing in-vehicle computing needs, particularly for processors supporting assisted driving, are driving the industry toward software-defined vehicles and integrated edge compute solutions.
#physical-ai #autonomous-vehicles #sensors-and-perception #software-defined-vehicles #automotive-computing
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