![]() The technology is even being used to produce corporate training videos and train doctors. The technology behind deepfakes offers many interesting possibilities for various creative sectors, from dubbing and repairing video to solving the uncanny valley effect of CG characters in films and video games, avoiding actors having to repeat a fluffed line and the creation of apps that allow us to try new clothes and hairstyles. Accessible software tools such as FakeApp and DeepFaceLab have since made deepfake technology available to all. Hollywood has famously transposed real or fictional faces onto other actors in recent years, for example, bringing Peter Cushing back to life in 2016’s Rogue One: A Star Wars Story, but the technique has required complex and expensive pipelines with face-mounted cameras. ![]() Huge advances came through the use of generative adversarial networks (GANS) to pit two AI algorithms against each other, one creating the fake and the other grading its efforts, teaching the synthesis engine to make better fakes. Artificial intelligence (AI) effectively learns what a particular face looks like at different angles in order to transpose the face onto a target as if it were a mask. ![]() Deep learning technology is a kind of machine learning that applies neural net simulation to massive data sets. Deepfakes take their name from the fact that they use deep learning technology to create fake videos.
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