Machines learn new ways of learning - CIFAR

Intelligent machines have learned to read and write, recognize images, and predict dangerous mutations. But how does a machine learn to learn in the first place? The art of'learning to learn' (or meta-learning) is now widely recognized as a cornerstone of artificial intelligence research. Over the last few years, the idea of using data to learn the learning algorithms has gained momentum -- and massive computational resources and datasets have made it possible. In 2016, Nando de Freitas, a Senior Fellow in CIFAR's Learning in Machines & Brains program, demonstrated a novel approach to learning to learn.