AI Age Progression tools use generative adversarial networks (GANs) to simulate how a person might look in the future. By training on large datasets of faces at different ages, the AI learns to apply realistic aging effects, such as wrinkles, changes in skin texture, and hair graying, to a given photograph. This technology is used in forensics to find missing persons, as well as for entertainment purposes. It showcases AI's powerful ability to model and predict complex biological processes over time, offering a glimpse into the future.
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