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This interactive experience explores how the objects of our lives gain significance through use, connection, and context. It emphasizes how these relationships are largely invisible until we name and define them. While computer vision systems can be trained to recognize the shapes, surfaces, and patterns of objects, the meanings attached to them move through memory and experience in ways that exceed algorithmic understanding. By exposing the details and omissions produced through digital translation, we consider the space between recognition and understanding.

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