The Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) project aims to use deep learning to assist researchers in making sense of massive datasets produced at the world’s most sophisticated scientific facilities. Deep learning is an area of machine learning that uses artificial neural networks to enable self-learning devices and platforms. The team, led by ORNL’s Thomas Potok, includes Robert Patton, Chris Symons, Steven Young and Catherine Schuman.
Industry Perspectives
insideHPC and OrionX.net Launch the @HPCpodcast
insideHPC in association with the technology analyst firm OrionX.net today announced the launch of the @HPCpodcast, featuring OrionX.net analyst Shahin Khan and Doug Black, insideHPC’s editor-in-chief. @HPCpodcast is intended to be a lively and informative forum examining key technology trends driving high performance computing and artificial intelligence. Each podcast will feature Khan and Blacks’ comments on the latest HPC news and also a deeper dive into a focused topic. In our first @HPCpodcast episode, we talk about a recent spate of good news for Intel before taking up one of the hottest areas of the advanced computing arena: new HPC-AI chips. You can find the @HPCpodcast on insideHPC and on Twitter. Here’s the RSS feed: http://orionx.net/category/audio-podcast/feed We welcome your suggestions [READ MORE…]
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insideHPC Guide to Perfectly Tailored AI, ML or HPC Environment
In this insideHPC technology guide, “How Expert Design Engineering and a Building Block Approach Can Give You a Perfectly Tailored AI, ML or HPC Environment,”we will present things to consider when building a customized supercomputer-in-a-box system with the help of experts from Silicon Mechanics. When considering a large complex system, such as a high-performance computing […]
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