<ul><li>Generative Adversarial Networks (GANs) are like a duel between two AI models: a Generator that creates images and a Discriminator that evaluates them.</li><li>The Generator tries to create realistic images while the Discriminator determines if they are real or fake.</li><li>Through adversarial training, the Generator learns to create convincing images that are indistinguishable from real ones.</li><li>GANs are pushing the boundaries of what machines can create and are aiding artists, scientists, and engineers in developing new tools.</li></ul>

Generative Adversarial Networks (GANs): When AI Learns by Competing with Itself

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