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Caltech scientists have developed an artificial neural network out of DNA that can recognize highly complex and noisy molecular information.
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Researchers at Caltech have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work is a significant step in demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits.