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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 which 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 these technologies are being used by researchers in the Triangle and beyond, in particular by faculty and students at local institutions such as UNC-Chapel Hill, Duke and NC State, and researchers at local institutions such as SAS.

It is hoped that this gathering and sharing of ideas and knowledge will generate new avenues of inquiry and new possibilities for collaboration.



Event Hosts

Jim Goodnight
Co-Founder and Chief Executive Officer

J. Michael Barker, PhD
Associate Vice Chancellor and Chief Technology Officer
UNC-Chapel Hill

Keynote Speaker

Jeff Layton, PhD
Senior Solution Architect, Nvidia

Featured Speakers

Mohit Bansal, PhD
Assistant Professor of Computer Science, UNC-Chapel Hill

Lawrence Carin, PhD
Professor of Electrical and Computer Engineering, Duke University

Olexandr Isayev, PhD
Assistant Professor at Eshelman School of Pharmacy, UNC-Chapel Hill

Karl Ricanek Jr., PhD
Associate Professor of Computer Science, UNC-Wilmington

Guillermo Sapiro, PhD
Edmund T. Pratt Jr. School Professor of Electrical and Computer Engineering, Duke University

Raju Vatsavai, PhD
Chancellor’s Faculty Excellence Program Associate Professor, Computer Science Department, NC State University

Andre Violante
SAS Staff Scientist

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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.

 1:30 – 3 p.m. Deep Learning: Getting Started (Image Classification)
 3:30 – 5 p.m. Deep Learning for Health Care Image Analysis
 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 opt-in to receive occasional emails from SAS Institute Inc. and its affiliates about SAS products and services.

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

Forum Location
SAS World Headquarters
Building C
Cary, NC

Questions? Please contact academic@sas.com.


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