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

S7222 - Deep Learning in the Connected Kitchen

Session Speakers
Session Description

We'll present Innit's work applying deep learning technology to build a platform that powers the connected kitchen of the near future. We've been carrying out pioneering work in the applications of modern computing technology to tackle problems in the food space, with a specific focus on empowering the very personal relationship between people and food. Throughout the food ritual (from planning and shopping to cooking and serving), Innit connects information about food with personal preferences and needs, and delivers actionable information via multiple channels such as mobile apps and embedded user interfaces at home and at the store. Deep learning makes multiple appearances in this process, from the latest in CNN-based object detection and classification, to using CNN features for image retrieval and matching, to advanced sensing in extreme environments such as an operating oven.


Additional Session Information
All
Talk
Computer Vision and Machine Vision Deep Learning and AI Intelligent Machines and IoT
Manufacturing Retail / Etail
25 minutes
Session Schedule