Google releases TensorFlow 0.8 with added distributed computing smarts

GOOGLE HAS powered up its TensorFlow machine learning program, allowing the open source software to be run in a distributed model across multiple machines. Version 0.8 may seem like a pretty underwhelming update for TensorFlow, but the new chops mean that its deep learning capabilities can suck data from large networks of machines simultaneously. Machine learning gets smarter the more it is exposed to data, and the update could unlock a significant amount of potential for TensorFlow and its uses. But we don’t reckon it will evolve into a fully-fledged artificial intelligence that will rise up and make humans its pets anytime soon. People keen to spread TensorFlow out to a cluster of machines can tap into the new libraries released by Google. The firm uses these to train its…


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