AI researchers have developed techniques to automatically generate photo-realistic images, videos, audio, and text data which can be used to train machine learning models. Synthetic data has enabled significantly more efficient deep learning and has enabled AI models to train on vast amounts of computer-generated synthetic imagery. Companies are creating huge libraries of synthetic data to fuel research in fields like autonomous vehicles, medical imaging analysis and robotics. Combining real and synthetic data gives AI models a richer, more well-rounded understanding of the world.
