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Deep Learning Symposium

SAS World Headquarters, Cary, NC

Sept. 27 – 28

This will be a multiday symposium focusing on deep learning, machine learning and artificial intelligence, technologies that are transforming a diverse set of scientific, engineering and business domains.

The symposium has two components. An educational component will feature workshops led by Nvidia instructors on topics including deep learning for health care and image analysis, genomics, image segmentation and classification, neural networks and more. The second component will focus on how researchers are using these technologies in the Triangle and beyond, in particular at local institutions such as UNC-Chapel Hill, Duke and NC State, and at businesses such as SAS.

We hope that this gathering and sharing of ideas and knowledge will generate new avenues of inquiry and new possibilities for collaboration.

Agenda

This event has reached capacity and is no longer available for registration.

 
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Please indicate which labs you would like to attend. Note that lab participation is limited. We will notify you if we are unable to accommodate your request. Lab attendees must bring their own laptops in order to participate.

 
 (WORKSHOP FULL) 1:30 – 3 p.m. Deep Learning: Getting Started (Image Classification)
 (WORKSHOP FULL) 3:30 – 5 p.m. Deep Learning for Health Care Image Analysis
 
 (WORKSHOP FULL) 10 a.m. – Noon Applied Deep Learning Lab
 1:30 – 3 p.m. Deep Learning for Health Care Genomics
 3:30 – 5 p.m. Image Segmentation (Intermediate)

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

Notice Concerning Training, Education, Food, Refreshments or Other Gifts Provided by SAS
At this event SAS will provide you items that may be subject to gift rules applicable for your organization. We respect these rules and encourage you to clear your receipt of these items with your organization. If you prefer, you may pay fair market value and receive a receipt for the items at sas.com/paysas.

In partnership with

Nvidia logo
The University of North Carolina at Chapel Hill logo
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Forum Location
SAS World Headquarters
Building C
Cary, NC

Questions? Please contact academic@sas.com.

 

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