Google AutoML Learns

Its long been suggested that the best AI is one that is the best learner.  Then it can learn from other humans, other AIs and the masses of data we are gathering.   Leading to an ultimate intelligence.  This is not quite that,  so the suggestion is a push, but points in the right direction.    From Weforum.org:

This Google AI created a ‘child’ AI to help it solve problems

Google's AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots "see."

An AI That Can Build AI

In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs. More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a “child” that outperformed all of its human-made counterparts.

The Google researchers automated the design of machine learning models using an approach called reinforcement learning. AutoML acts as a controller neural network that develops a child AI network for a specific task. For this particular child AI, which the researchers called NASNet, the task was recognizing objects — people, cars, traffic lights, handbags, backpacks, etc. — in a video in real-time.  ... "