This article describes embodied AI, a field involving "AI agents that don't simply accept static images from a data set but can move around and interact with their environments in simulations of three-dimensional virtual worlds." Based on the work of Princeton scientist Fei-Fei Li, it suggests a type of AI that "could power a major shift from machines learning straightforward abilities, like recognizing images, to learning how to perform complex humanlike tasks with multiple steps, such as making an omelet." The diffewrence here is like the difference between presenting a student with text and images to learn from and giving them a real environment where they can move about and try things. "The meaning of embodiment is not the body itself, it is the holistic need and functionality of interacting and doing things with your environment," said Li.
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