No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
My Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
There aren't any available sessions at this time.
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2019 GTC San Jose
Add to My Interests
Remove from My Interests

S9791 - End-to-End Analysis of Large 3D Geospatial Datasets in RAPIDS

Session Speakers
Session Description

Location intelligence is key to understanding areas such as property insights, environmental monitoring, disaster management and prevention, traffic flows, and customer behavior. We'll discuss our work involving Europe's property insurance sector, which has been disrupted by the growing use of comparison websites that require real-time quotations. To build deep learning models, large volumes of data from satellite images, 3D sensors, GPS-enabled devices, social media, and other sources must be merged using computationally intensive coordinate conversion and matching. We'll outline our solution, which uses 3D CNNs to estimate risk factors from color 3D virtual models of individual properties. We'll describe how we used RAPIDS and cover our entire process, from processing raw data, merging sources, generating and labeling colorized voxel cubes for training, to model building, inference, and final application.


Additional Information
Accelerated Data Science
AI Application Deployment/Inference, Accelerated Data Science, Advanced AI Learning Techniques (Incl. GANs/NTMs)
IT Services
Intermediate technical
Talk
50 minutes
Session Schedule