Facebook on Wednesday rolled out some staggering statistics related to its social networks.

Each day, users watch 100 million hours of video, 400 million people use Messenger, and more than 95 million photos and videos are posted on Instagram.That puts a heavy load on Facebook’s servers in data centers, which help orchestrate all these services to ensure timely responses.
In addition, Facebook’s servers use machine learning technologies to improve services, with one visible example being image recognition.[ Roundup: TensorFlow, Spark MLlib, Scikit-learn, MXNet, Microsoft Cognitive Toolkit, and Caffe machine learning and deep learning frameworks. | Get a digest of the day’s top tech stories in the InfoWorld Daily newsletter. ]
The story is similar for Microsoft, which is continually looking to balance the load on its servers.

For example, Microsoft’s data centers apply machine learning for natural language services like Cortana.To read this article in full or to leave a comment, please click here

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