AI Generative Adversarial Network Attractive Face
We have seen the future of dating apps, and they’ll all be AI-powered. Why? Researchers used electroencephalography (EEG) measurements to identify what kind of facial features people found to be attractive, and then uploaded the data to an artificial intelligence program, or a generative adversarial neural network (GAN). This program then familiarized itself with the types of faces individual people found desirable, and then synthesized new ones tailored exactly to their preferences.

The new AI-generated faces were then shown to the 30 volunteers alongside multiple additional faces, which were rated by participants as attractive 80 percent of the time, compared to just 20 percent for the randomized faces. How would this work in let’s say a dating app? Well, AI would first show new users a series of AI-generated faces and then compare them to what is already in their database.

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They did not have to do anything but look at the images. We measured their immediate brain response to the images. Succeeding in assessing attractiveness is especially significant, as this is such a poignant, psychological property of the stimuli,” said cognitive neuroscientist Michiel Spape.


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