Synthesis algorithms are computational methods used to create new data or structures from existing information. They are commonly applied in fields like computer graphics, music generation, and artificial intelligence. By analyzing patterns and relationships in the input data, these algorithms can produce outputs that mimic or enhance the original content. One popular application of synthesis algorithms is in machine learning, where they help generate realistic images or sounds. For instance, Generative Adversarial Networks (GANs) utilize synthesis algorithms to create new images by learning from a dataset of real images. This process allows for innovative creations that can be indistinguishable from actual data.