Learn about What is a Generative Adversarial Network and its impact on AI innovation. A Generative Adversarial Network (GAN) is a type of deep learning model used to generate synthetic data that closely resembles real-world data. It consists of two neural networks—a generator and a discriminator—that work together competitively. GANs are widely used in image synthesis, data augmentation, and deepfake technology. Businesses leverage GANs for realistic image generation, video enhancement, and creating virtual environments. This AI technique has applications in gaming, fashion design, healthcare imaging, and fraud detection. Understanding how GANs work and their potential benefits can help industries innovate and automate creative processes. Learn how GANs are transforming artificial intelligence by enabling machines to generate high-quality, realistic content.