Physical AI
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Physical AI
Physical AI, this emerging category blends sensor data, real-time computing, and adaptive algorithms to turn real-world spaces into intelligent systems. The benefits of this combination work in both directions and form a virtuous cycle: The physical space generates operational data for AI solutions to process, evaluate and learn from. The AI pores over these vast and constant streams of physical data to reduce bottlenecks, anticipate problems, and inform how the work in that physical space should go. Physical AI lets autonomous systems like robots, self-driving cars, and smart spaces perceive, understand, and perform complex actions in the real (physical) world. It’s also often referred to as “generative physical AI” because of its ability to generate insights and actions.
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