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
Coming Soon
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.
GTC DC 2017

DC7129 - AI at the Edge - Intelligent Machines

Session Speakers
  • Jesse Clayton - Senior Manager of Product Management for Intelligent Machines, NVIDIA

    Jesse Clayton is the senior manager of product management for intelligent machines at NVIDIA. He has more than 20 years of experience in technology, spanning software, GPU computing, embedded systems, and aeronautics. His current focus is bringing advanced computer vision and deep learning solutions to autonomous machines and intelligent devices. Prior to joining NVIDIA in 2005, he conducted NASA-funded research on aviation systems and algorithms. Clayton holds a Bachelor of Science degree in electrical and computer engineering from the University of Colorado, Boulder.

Session Description

Artificial Intelligence is impacting almost every part of the industrial and agricultural supply chain. From robots that quickly adapt to build new products to automated vehicles that address last-mile challenges for product delivery to UAVs that can automatically detect failing infrastructure, the world is transitioning from a process that is largely manual to one that is largely automated. In this talk we will discuss how AI and Deep Learning are enabling these advances. We will also analyze a sampling of early successes across different applications. And finally we will describe some of the remaining challenges to wide-scale deployment and work that NVIDIA is doing to address those challenges via the Isaac Initiative.


Additional Information
All
Intelligent Machines and IoT
Manufacturing
Talk
50 minutes
Session Schedule