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.”
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AI-Generated Summary
- Vivek Venugopalan, a staff research scientist at the United Technologies Research Center, is utilizing deep learning and GPUs to predict the life of an aircraft engine and perform predictive maintenance for elevators in high-rise buildings.
- The use of GPUs has significantly reduced the time taken to arrive at solutions for computationally intensive challenges, from months to just a couple of hours.
- GPUs are particularly beneficial in the era of big data and internet of things, enabling faster solutions across all UTRC platforms with the help of NVIDIA.
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