Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. Previous articles in this series discussed an exascale-capable machine learning algorithm and ...

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

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

The future of machine learning is distributed If you are familiar with ML model deployment, you may know about PMML and PFA. PMML and PFA are existing standards for packaging ML models for deployment.

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

Japanese heavyweight NTT has come up with a way to carry out coordinated machine learning on multiple edge servers. It is similar to a blockchain or an artificial neural network, in that it is ...

At its core, what Run.AI offers is a new virtualization layer for distributed machine learning tasks that can across a large number of machines.