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Can a robot painter learn from observing a human artist’s brushstrokes? That’s the question Carnegie Mellon University researchers set out to answer in a study recently published on the preprint server Arxiv.org. They report that 71% of people found the approach the paper proposes successfully captured characteristics of an original artist’s style, including hand-brush motions, and that only 40% of that same group could identify the brushstrokes drawn by the robot

AI art generation has been exhaustively explored. An annual international competition —   — tasks contestants with designing artistically-inclined AI systems. Researchers at the University of Maryland and Adobe Research describe an algorithm called that can reproduce hand-painted canvases in the

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