Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch

We often hear how widespread artificial intelligence has become and how it is increasingly affecting our daily lives. But for most people the nature of the tech is a mystery -- we know it's powerful but we don't know what makes it tick, much less how it's built. While research over the past decade has greatly advanced model structures and learning methods, creating algorithms remains relatively time-consuming and difficult. This has prompted research into automation efforts, or AutoML, aimed at the simplification and democratization of AI. In a recent ICML paper, Google researchers propose an "AutoML-Zero" approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input.