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View Weekly PageAnswer: Generative Adversarial Networks
GANs (Generative Adversarial Networks) consist of two neural networks - a generator that creates fake data and a discriminator that evaluates authenticity. They compete to improve output quality. Used in deepfakes, art generation, drug discovery, and data augmentation. Ethical concerns include misinformation.