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You’ll have to take CEO Sundar Pichai’s word for it, but Google’s latest AI project is producing results that are more impressive than what the human workforce is churning out. During the Google I/O ’17 conference, Pichai talked a little bit about their new venture, AutoML, where artificial intelligence systems are producing better versions of themselves in a process described as “AI Inception.” Basically, it sounds like AI is sophisticated enough to self-replicate and automate now, requiring little to no human interaction, and Google thinks that’s entirely fine and awesome.
The AutoML project focuses on deep learning, a technique that involves passing data through layers of neural networks. Creating these layers is complicated, so Google’s idea was to create AI that could do it for them. “In our approach (which we call ‘AutoML’), a controller neural net can propose a ‘child’ model architecture, which can then be trained and evaluated for quality on a particular task,” the company explains on the Google Research Blog. “That feedback is then used to inform the controller how to improve its proposals for the next round. We repeat this process thousands of times — generating new architectures, testing them, and giving that feedback to the controller to learn from.”
The AutoML project focuses on deep learning, a technique that involves passing data through layers of neural networks. Creating these layers is complicated, so Google’s idea was to create AI that could do it for them. “In our approach (which we call ‘AutoML’), a controller neural net can propose a ‘child’ model architecture, which can then be trained and evaluated for quality on a particular task,” the company explains on the Google Research Blog. “That feedback is then used to inform the controller how to improve its proposals for the next round. We repeat this process thousands of times — generating new architectures, testing them, and giving that feedback to the controller to learn from.”
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