AI and Machine Learning

Generative Adversarial Networks & Diffusion Models

Generative Adversarial Networks (GANs) and diffusion models create realistic images, videos, audio, and synthetic data. They enable content creation, data augmentation, simulations, and virtual environments. Research focuses on improving training stability, sample efficiency, and output quality. These generative models are transforming digital media, entertainment, healthcare, and AI-driven simulations, driving innovation across creative and industrial applications.

• GAN Architectures & Techniques
• Diffusion Models & Score-Based Generative AI
• Applications in Media & Design
• Synthetic Data & Simulation