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An illustration of how a GAN works. A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.Deepfakes represent a form of synthetic media generated through advanced artificial intelligence techniques, including deep learning, neural networks, and generative adversarial networks (GANs). They intricately blend existing images, videos, or audio with new elements, often resulting in hyper-realistic simulations.By Matteo Wong. Erik Carter / The Atlantic. December 20, 2022. It was 2018, and the world as we knew it—or rather, how we knew it—teetered on a precipice. Against a rising drone of ... 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