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.

By integrating LoRa technology with distributed machine learning, the network connectivity of green intelligent transportation systems can be optimized.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

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 ...

Microsoft today announced the release of a new open-source machine learning toolkit that goes by the name DMTK. The toolkit contains a framework for training models on multiple servers, a topic ...

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.