The quest for AI creativity

AI's role in Morgan, and numerous other creative endeavors, shows how far AI has come. Using techniques such as deep learning has enabled tremendous progress, but AI remains relegated to an assistant role--for now. "What's interesting is that, compared to a lot of other machine learning techniques, deep learning technology is what's called a'generative model,' meaning that it learns how to mimic the data it's been trained on," explains Jason Toy, CEO of Somatic, a start-up focused on developing deep learning applications. "If you feed it thousands of paintings and pictures, all of a sudden you have this mathematical system where you can tweak the parameters or the vectors and get brand new creative things similar to what it was trained on." But even highly touted AI techniques have their limitations.