Few organizations have a more urgent need for accurate, actionable information than defense, intelligence and security agencies.
When life and safety hang in the balance, they rely on GPUs to perform at their best. And you can learn how at next month’s GPU Technology Conference, in Silicon Valley.
Among the highlights:
- Diamond Visionics CTO Tim Woodard will discuss the latest techniques for using GPUs to visualize large geographic datasets for mission rehearsal training and full motion-based simulation.
- Herta Security research director Carles Fernández Tena will talk about using the NVIDIA Tegra X1 processor for real-time evaluation and deployment of deep learning for video analytics, surveillance and facial recognition.
- NVIDIA solution architect Jon Baker will explain how to use deep learning on embedded GPU systems to carry out low-latency object detection, classification and tracking in high-resolution aerial imagery
- Accenture Labs Data Science Principal Joshua Patterson will show how GPUs power graph analytics technology and visualization techniques to accelerate fraud and anomaly detection.
- Carnegie Mellon University Ph.D. candidate William Chan will describe a GPU-powered distributed asynchronous training platform for creating systems that can transcribe speech to text.
- BAE Systems Tech Fellow Bingcai Zhang will explain a method for detecting geospatial objects with deep learning algorithms to classify objects with new levels of accuracy.
And that’s just for starters.
Join us at GTC 2016, April 4-7. Hang out with experts from NVIDIA and across the industry to learn more about what’s trending in technology. Dive into our labs to take a hands-on approach with GPUs. And listen keynotes from NVIDIA’s Jen-Hsun Huang, IBM Watson CTO Robert High and Toyota Research Institute CEO Gill Pratt.