TensorFlow 0.8 adds distributed computing support to speed up the learning process for Google's machine learning system.

A multi-layered cloud security framework improves data privacy using flow marking, cryptographic validation, and randomized obfuscation.

Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time ...

But the truth is edge computing is an easily predictable pattern as digital operations scale, especially for geographically distributed businesses, such as national retail chains, insurance ...

Thanks to deep buffering and intelligent congestion control, Jericho4 ensures lossless RoCE across 100km+ enabling truly distributed AI infrastructure unconstrained by power and space limitations ...

Google hopes that with ope source availability and distributed computing support, researchers, engineers and hobbyists can help speed the machine’s learning along and help get it to a much ...

The company says distributed computing has long been one of the most requested features for TensorFlow and with this, Google is essentially making the technology that powers much of its recently ...