Automated techniques could make it easier to develop AI

Although automated machine learning has been around for almost a decade, researchers are still working to refine it. Last week, a new conference in Baltimore--which organizers described as the first international conference on the subject--showcased efforts to improve autoML's accuracy and streamline its performance. There's been a swell of interest in autoML's potential to simplify machine learning. Companies like Amazon and Google already offer low-code machine-learning tools that take advantage of autoML techniques. If these techniques become more efficient, it could accelerate research and allow more people to use machine learning. The idea is to get to a point where people can choose a question they want to ask, point an autoML tool at it, and receive the result they are looking for.