Understanding generative adversarial networks in AI
Generative adversarial networks use two neural networks, generator and discriminator, to create realistic synthetic data. This innovation is transforming fields like image generation, drug discovery, and design. By simulating real-world patterns, GANs provide opportunities for efficiency and creativity, while raising challenges in ethics and misuse.