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Here's how Google is preparing Android for the AI-laden future

Blair Hanley Frank | May 19, 2017
TensorFlow is going on a diet to optimise for smartphones and other lightweight devices.

Google is already investing in ML-specific hardware with its line of Tensor Processing Unit chips, which are designed to accelerate both the training of new machine learning algorithms as well as data processing using existing models. On Wednesday, the company announced the second version of that hardware, which is designed to accelerate machine learning training and inference.

The company is also not the only one with a smartphone-focused machine learning framework. Facebook showed off a mobile-oriented ML framework called Caffe2Go last year, which is used to power applications like the company’s live style transfer feature.

 

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