When people think of artificial intelligence, AI, they think of Alexa, Siri, Google Home and self-driving cars.
When an AI dreams of humans it dreams up their faces. No really.
Generative Adversarial Networks (GAN) are a relatively new concept in Machine Learning, introduced for the first time in 2014. Their goal is to synthesize artificial samples, such as images, that are indistinguishable from authentic images. A common example of a GAN application is to generate artificial face images by learning from a dataset of celebrity faces.Style-based GANs – Generating and Tuning Realistic Artificial Faces
This is some highly impressive stuff given that the system does produce fairly believable results without lots of distortions. You can see some distortions if you click on the image below and keep refreshing. Evertime it will generate a new face for you…
You definitely will not know this person: