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The artist worked with Deepfake technological innovation to produce an AI actor, a artificial model of 80s movie star Ornella Muti, touring in time from 1978 to 2018. The Massachusetts Institute of Technology referred this artwork in the analyze "Collective Wisdom". British artist Jake Elwes' Zizi: Queering the Dataset, an artwork that works by using deepfakes of drag queens to intentionally participate in with gender. Deepfakes depend on a style of neural network named an autoencoder. A preferred up grade to this architecture attaches a generative adversarial network to the decoder. Temporal coherence. In films that contains deepfakes, artifacts these as flickering and jitter can arise since the network has no context of the preceding frames. Some scientists offer this context or use novel temporal coherence losses to support increase realism. Larger companies began to use deepfakes. Companies which have utilised electronic clones of qualified actors in ads incorporate Puma, Nike and Procter & Gamble. Video artists have utilised deepfakes to "playfully rewrite movie history by retrofitting canonical cinema with new star performers".