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The Artificial intelligence (AI) is the science that tries to replicate and develop computer programs capable of performing certain operations of human intelligence, such as self-learning. In recent years it has developed at great speed and on more than one occasion it has surprised humans with what it is capable of doing. This was what happened recently, when Google’s AI created its own “children.”

According to Google, its automated machine learning (AutoML) system is a controller neural network that can propose a “child” model architecture, which can then be trained and evaluated to determine the quality of a particular task.

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“That feedback is then used to inform the controller how to improve their proposals for the next round. We repeat this process thousands of times: we generate new architectures, we test them, and we give that feedback to the controller so that it can learn from it.”Google explained.

Eventually, according to the company’s explanation, the controller learns to assign a high probability to areas of architecture space that achieve higher accuracy on a retained validation data set and a low probability to areas of architecture space that achieve higher accuracy on a retained validation data set. the architecture that get a low score.

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After this discovery, Google assured that in the future it will work on careful analysis and testing of these machine-generated architectures to improve understanding of them.

If the tech-savvy company is successful, it could create new types of neural networks and make it possible for non-techies to create neural networks tailored to their particular needs, “enabling machine learning to have a greater impact for everyone”they explained.

GDA / Weather / Colombia

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