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The artist worked with Deepfake technologies to create an AI actor, a artificial variation of 80s film star Ornella Muti, traveling in time from 1978 to 2018. The Massachusetts Institute of Technology referred this artwork in the review « Collective Wisdom ». British artist Jake Elwes’ Zizi: Queering the Dataset, an artwork that works by using deepfakes of drag queens to deliberately engage in with gender. Deepfakes depend on a kind of neural community named an autoencoder. A well-liked update to this architecture attaches a generative adversarial network to the decoder. Temporal coherence. In videos that contains deepfakes, artifacts these types of as flickering and jitter can happen for the reason that the network has no context of the preceding frames. Some researchers deliver this context or use novel temporal coherence losses to enable strengthen realism. Larger corporations started to use deepfakes. Companies which have applied digital clones of qualified actors in adverts involve Puma, Nike and Procter & Gamble. Video artists have used deepfakes to « playfully rewrite film heritage by retrofitting canonical cinema with new star performers ».