Climate Research Pulls Deep Learning Onto Traditional Supercomputers

May 18, 2016 Nicole Hemsoth Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. However, most of what we have seen has been centered on the use of deep learning to power consumer services. Speech and image recognition, video analysis, and other features have spun from deep learning developments, but from the mainstream view, it would seem that scientific computing use cases are still limited. Deep neural networks present an entirely different way of thinking about a problem set and the data that feeds it. While there are established approaches for images and speech patterns both in terms of training and inference, research areas that could benefit are still lagging somewhat behind. Further, as we have described here…


Link to Full Article: Climate Research Pulls Deep Learning Onto Traditional Supercomputers

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