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.
Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ws/2dbscA7
Developer Spotlight: Applying Deep Learning to Aerospace Technologies and Integrated Systems
May 03, 2017
Discuss (0)

Related resources
- DLI course: Getting Started with AI on Jetson Nano
- GTC session: Connect with the Experts: Deep Learning, Machine Learning, and Data Science (Spring 2023)
- GTC session: Jetson Edge AI Developer Days: Getting the Most Out of Your Jetson Orin Using NVIDIA Nsight Developer Tools (Spring 2023)
- SDK: Nsight Deep Learning Designer
- Webinar: NVIDIA Emerging Chapters Education Series - Jetson AI Fundamentals
- Webinar: Deep Learning and Beyond