Thought Leaders in Artificial Intelligence: Steve Scott, CTO of Cray (Part 5)

Sramana Mitra: Do you have any thoughts on this problem that is being discussed nowadays? AI is a bit of a black box and all these biases that are creeping into AI are going to drive society in the next several decades. We don’t really have a very good understanding of what really the AI

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Thought Leaders in Artificial Intelligence: Steve Scott, CTO of Cray (Part 4)

Steve Scott: With the advent of GPU computing, deep neural nets started to become enabled to the point where you could get good enough performance so that you could really do useful things with them. GPU computing is the application of the processors that were designed for highly parallel tasks of painting triangles on the

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Thought Leaders in Artificial Intelligence: Steve Scott, CTO of Cray (Part 3)

Sramana Mitra: Can you give an example? Steve Scott: If you think about deep neural networks in particular, there’s training and there’s inference. Training is the learning part where you take a bunch of data and based on that, you train a model to be able to provide some function. Inference, of course, is using

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Thought Leaders in Artificial Intelligence: Steve Scott, CTO of Cray (Part 2)

Steve Scott: The way people have used Cray and other high-performance supercomputers is, you have a bunch of equations that present a model for the natural world whether that’s equation of airflow across an airplane wing or equations dictating the molecular dynamics involved in drug discovery. You iteratively solve these equations spread across these points

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Thought Leaders in Artificial Intelligence: Steve Scott, CTO of Cray (Part 1)

Steve takes us deep into the field of high performance computing and how AI is impacting it. Sramana Mitra: Let’s start by having you introduce yourself a little bit as well as Cray’s activities in the domain of AI currently. Steve Scott: I’m the Chief Technology Officer at Cray. I’ve been with Cray most of

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Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 5)

Sramana Mitra: Based on where you sit and what you look at on a regular basis, what are some of the open problems from your point of view? Franz Aman: In the big data space in particular, everyone has jumped on the analysis and understanding of big data, which is entirely understandable. But I think

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Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 4)

Sramana Mitra: So, you are avoiding that problem by blowing out the main memory available and then doing the in-memory computing on top of that? Franz Aman: Correct. Then it is native. It is just available, and your application will just run. We recently did a project with a researcher from the University of Illinois

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Thought Leaders in Big Data: Franz Aman, Chief Marketing Officer, Silicon Graphics (Part 3)

Sramana Mitra: You talked about in-memory databases and said you were using Oracle’s in-memory database technology. Could you talk a bit about trends in in-memory databases, because it looks like SAP is setting its entire company on HANA?