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A generative adversarial network consists of two neural networks — a generator and a discriminator — that compete against each other. The generator creates synthetic data while the discriminator tries to distinguish it from real data, and through this competition both improve.
GANs pioneered the ability to generate realistic synthetic images, video, and audio, opening up creative applications while also raising concerns about misuse.
The website 'This Person Does Not Exist' uses a GAN to generate photorealistic faces of people who have never existed.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data. The 'deep' refers to the multiple layers that progressively extract higher-level features from raw input.
Diffusion Model
A diffusion model is a type of generative AI that creates new data (typically images) by learning to reverse a gradual noising process. It starts with random noise and iteratively refines it into a coherent output guided by a text or image prompt.
Deepfake
A deepfake is synthetic media — typically video or audio — created using deep learning to convincingly replace one person's likeness or voice with another's. The technology can produce content that is extremely difficult to distinguish from genuine recordings.
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