We all expected that the Summit supercomputer at Oak Ridge National Lab would be a major part of pushing deep learning forward in HPC given its balanced GPU and IBM Power9 profile (not to mention the on-site expertise to get those graphics engines doing cutting-edge work outside of traditional simulations). …
While deep learning models might not be able to simulate large-scale physical phenomena in the same way purpose-built supercomputers and their application stacks do, there is more research emerging that shows how traditional HPC simulations can be augmented, if not replaced in some parts, by neural networks. …
FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable hardware quite well. …
The dark and mysterious art of artificial intelligence and machine learning is neither straightforward, or easy. …
On today’s episode of “The Interview” with The Next Platform, we focus on how geographic information systems (GIS) is, as a field, being revolutionized by deep learning. …
Researcher Olexandr Isayev wasn’t just impressed to see an AI framework best the top player of a game so complex it was considered impossible for an algorithm to track. …
It is estimated that each day over a million malicious files are created and kicked to every corner of the web. …
Although most recognize GE as a leading name in energy, the company has steadily built a healthcare empire over the course of decades, beginning in the 1950s in particular with its leadership in medical X-ray machines and later CT systems in the 1970s and today, with devices that touch a broad range of uses. …
One of the reasons this year’s Supercomputing Conference (SC) is nearing attendance records has far less to do with traditional scientific HPC and much more to do with growing interest in deep learning and machine learning. …
There are a lot of different ways to skin the deep learning cat. …
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