Google’s Artificial Intelligence Built Its Own AI That Outperforms Any Made by Humans
(ANTIMEDIA) — With the exponential growth of machine learning, automation, and artificial intelligence, a certain anxiety over future job losses and human obsolescence has crept into popular culture. What’s to stop artificial intelligence from replacing humans across the board? Well, one might respond, they’ll still need humans to create them. Right?
According to researchers at Google Brain, their newest artificial intelligence (AI) creation, AutoML, is not only capable of creating its own AIs, it is better at it than humans. The project, an early example of recursively self-improving AI, involved the use of reinforcement learning to automate the development of machine learning templates.
AutoML (“ML” is short for machine learning) acted as a controller neural network that spawned a child AI called NASNet. AutoML played the role of supervisor and teacher for its child AI, overseeing its ability to perform a specific task over and over again. In this case, NASNet was charged with