Illustration of brain-like neural networks (IMAGE)
Caption
Researchers can train artificial brain-like neural networks to classify images, such as cat pictures. Using a series of manipulated images, the scientists can figure out what part of the image--say the whiskers--is used to identify it as a cat. However, when the same technology is applied to DNA, researchers are not certain what parts of the sequence are important to the neural net. This unknown decision process is known as a "black box".
Credit
Ben Wigler/CSHL, 2021
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