Program creates template for interoperable, Web-based educational content. The U.S. Defense Department has developed a software standard that permits organizations to write and share online courses ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

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FORT EUSTIS, Virginia -- With the New Year barely underway, The Army Distributed Learning Program located on Fort Eustis has just launched a completely redesigned website. In addition to a more ...

Tel Aviv’s Run.AI, a startup that is building a new virtualization and acceleration platform for deep learning, is coming out of stealth today. As a part of this announcement, the company also ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

This article asks: What is the knowledge base required for online educators? Using a qualitative case study approach, it provides information on the issues that teachers face when working with online ...

Google's TensorFlow machine learning system can now be distributed across multiple machines in an update, TensorFlow 0.8. The machine learning software is already distributed across hundreds of ...

ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...

Computer scientists, using a divide-and-conquer approach that leverages the power of compressed sensing, have shown they can train the equivalent of a 100 billion-parameter distributed deep learning ...