In AI, we usually think of perception as a bottom-up process: you feed an image of an apple into a CNN, the early layers detect edges and colors, and the final layer outputs an “embedding”—a dense vector representing the abstract concept of “apple-ness.”
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"This is so important because it's one of the core ingredients that we need for our in-space manufacturing process," she explains. "So being able to demonstrate this is amazing."
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