Vivek Venugopalan, a staff research scientist at the United Technologies Research Center (UTRC) shares how they are using deep learning and GPUs to understand the life of an aircraft engine and predictive maintenance for elevators in high-rise buildings.
“GPUs have helped us arrive at solutions quickly for computationally intensive challenges across all UTRC platforms, especially in this era of big data and internet of things,” said Venugopalan. “This is very critical because what used to take months to come to a solution, we are now able to achieve this in a couple of hours.”
Share your GPU-accelerated work with us at http://nvda.ws/2cpa2d4.
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Developer Spotlight: Applying Deep Learning to Aerospace Technologies and Integrated Systems
May 03, 2017
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