/sci/ - Science & Math

Researchers have built a gaydar Anonymous Thu Apr 19 05:31:11 2018 No.9683041 [View]
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Stanford researchers have trained a neural network to determine the sexual orientation of a person based on their facial photos. Given five images, the neural network was able to predict with 91% accuracy whether the person was gay or heterosexual. Human judges were correct only 61% of the time.

https://www.gsb.stanford.edu/faculty-research/publications/deep-neural-networks-are-more-accurate-humans-detecting-sexual

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