What We Want to Learn at the Biggest AI Summit of the Year

What’s top of mind for AI-focused data scientists and experts right now? NeurIPS – the biggest artificial intelligence summit of the year. The 32nd annual Conference on Neural Information Processing Systems gets underway Dec. 2 in Montréal. Like most organizations involved with artificial intelligence, we have a team here at Cray gearing up for the event. With that in mind I thought it would be interesting to get their before and after perspective. I asked four members of our NeurIPS-bound team a simple question: what are you looking forward to learning at the event? Here’s what they said: Per Nyberg, Vice President Market Development, Artificial Intelligence and Cloud I’m most interested in learning about progress and new ... [ Read More ]

When It Comes to AI, Automation Is Better, Choice Is Good, and Simplicity Is King

This week at the SC18 supercomputing event, one of the exciting areas we’re highlighting is how Cray continues to expand its artificial intelligence portfolio to support researchers, data scientists and IT teams as machine and deep learning become core to their everyday missions. As we’ve spoken to organizations starting out with AI, developing models, doing real research, or implementing production systems, we’ve noticed a few themes: • Machine learning is as much an art as it is a science, and a time-consuming endeavor at that. Automation tools that help the data scientist get to the optimal solution faster are much appreciated. • No single “right” tool set exists. Some teams prefer TensorFlow, some PyTorch, some Apache Spark™ ... [ Read More ]

Learning About Learning: Artificial Intelligence, Machine Learning & Deep Learning

Artificial intelligence (AI), machine learning (ML) and deep learning (DL): these terms crop up often online and in the popular and technical media. They either represent a tidal wave that’s going to overwhelm every industry and company that doesn’t rapidly adapt or they’re a more incremental innovation in IT. They may usher in new capabilities like speech recognition or image analysis, but at the same time they may also be a little overhyped today. Which of these scenarios is closer to reality? And while we’re at it, what — if anything — are the differences between AI and machine learning and deep learning? Also, why does any of this matter to someone who’s otherwise interested in high-performance computing and IT at the cutting edge? ... [ Read More ]

Bloomsbury AI Uses Cray Tech to Top Artificial Intelligence Record

One of our initiatives here at Cray is to provide supercomputer resources so innovators can advance artificial intelligence in its many forms — and, ultimately, human understanding. One way that we do this is through a partnership with the UK innovation center Digital Catapult and its Machine Intelligence Garage program. Machine Intelligence Garage helps businesses access the computation power and expertise they need to develop and build machine learning and artificial intelligence solutions. As part of this partnership, one of the program participants, Bloomsbury AI, used a Cray® CS-Storm™ system in the Cray Accel AI™ lab to train and optimize the deep learning models within Cape, an open-source technology that can answer ... [ Read More ]

Boost Your HPC & AI Knowledge with Fall Learning Series Webinars

Summer is almost over and fall is the perfect time to refocus, reengage, and reinvest in learning how to overcome some of your biggest HPC challenges. To help get you on track, Cray is offering a September Learning Series of webinars designed to address four of the most frequently asked questions we get in areas ranging from artificial intelligence to storage and compute to software. Join us for any — or all — of the sessions to learn, ask questions and engage with industry thought leaders. Tuesday, 9/11, 9 a.m. PT: The Three Steps: Focusing on Workflow for Successful AI Projects As artificial intelligence (AI) has gained mainstream acceptance, there's been a lot of focus on the systems used to develop and train models. But ... [ Read More ]