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An ‘introspective’ AI finds diversity improves performance

New theory predicts movement of different animals using sensing to search

An artificial intelligence with the ability to look inward and fine tune its own neural network performs better when it chooses diversity over lack of diversity, a new study finds. The resulting diverse neural networks were particularly effective at solving complex tasks.

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