Google’s machine learning system has gone open source (Wired UK)


Google’s artificial intelligence engine is now open source.

Known as TensorFlow, the system has been made freely available to “accelerate” developments in the field of machine learning.

Machine learning has been used by Google to help develop the Google Photos app, which can automatically detect people and places, and Google Translate. Most recently the company added machine learning to its Inbox app, which scans emails and automatically writes replies.

“It’s a highly scalable machine learning system,” Google CEO Sundar Pichai wrote in a blog post announcing the news. “TensorFlow is faster, smarter, and more flexible than our old system, so it can be adapted much more easily to new products and research.”

In its announcement Google acknowledged that machine learning had a long way to go and that “computers today still can’t do what a 4-year-old can do effortlessly”.

Last year the algorithms behind the Google Photos app had to be altered and the company apologised after it automatically labelled black people as ‘gorillas’.

And Google’s not the first of the big web companies to open source its deep learning software.

Amazon has previously opened up its machine learning system to help drive development of predictive apps, fraud detection, and online click predictions. Amazon Web Services provides a system management console, API, data visualisation and more.

“You can use Amazon Machine Learning to help you build applications that flag suspicious transactions, detect fraudulent orders, forecast demand, personalise content, predict user activity, filter reviews, listen to social media, analyse free text, and recommend items,” Amazon said.

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9 November 2015 | 5:25 pm – Source:


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