No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
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.
2017 GTC San Jose

S7200 - Real-Time Anomaly Detection on Video and SCADA with Omni AI Platform

Session Speakers
Session Description

The potential information buried in sensors is enormous. There is far too much data from sensors to all be actively monitored and managed by agents. Large-scale autonomous monitoring systems require a significant amount of computing resources. Manual configuring of sensors to detect specific activities can be time consuming. Correlating and fusing different sensor modalities in real time for co-presence for anomaly could be computationally intractable. We'll demonstrate how the Omni AI platform uses NVIDIA GPUs to enable high-performance and high-scalability real-time anomaly detection on thousands of sensors using an unsupervised online machine learning engine with the neuro-linguistic cognitive model.


Additional Session Information
All
Talk
Accelerated Analytics Deep Learning and AI Federal Intelligent Video Analytics Intelligent Machines and IoT
Higher Education / Research Software
25 minutes
Session Schedule