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Introduction

Date: Dec 17, 2019
Time: 10:00am – 11:00am PT
Duration: 1 hour


Large-scale natural disasters pose significant challenges for emergency responders tasked with deploying assets and performing rescue missions. Responders need continually updated information about the disaster environment and the victims within it--in many cases, delays of even a few minutes can be the difference between life and death.


Join this webinar to discover how RAPIDS, NVIDIA’s GPU-accelerated data science software stack, helps accelerate route replanning for civilian and military disaster response assets under dynamic risk conditions, among other federal mission sets.



In this webinar you will learn:
  • Fuse and interpret dynamic heterogeneous datasets from sensor observations and static environmental data in real-time using RAPIDS cuDF dataframe library
  • Accelerate geospatial calculations using RAPIDS new cuSpatial library
  • Optimize the placement of key resources with machine learning using the RAPIDS cuML library
  • Analyze network graphs using the RAPIDS cuGraph library
Join us after the presentation for a live Q&A session.

WEBINAR REGISTRATION

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

Additionally, we invite you to Get hands-on experience with the Fundamentals of Accelerated Data Science with RAPIDS in an online, self-paced course offered by the NVIDIA Deep Learning Institute (DLI). Learn more about DLI courses at www.nvidia.com/dli.

Learn more about the RAPIDS libraries:

cuDF dataframe library  | cuSpatial librarycuML librarycuGraph library




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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Chris Milroy

Senior Solutions Architect, NVIDIA

Chris Milroy is a Senior Solution Architect at NVIDIA Corporation, where he works within the federal ecosystem to design, implement, and educate about high performance data analytic systems and methods to help solve some of the government's biggest data challenges. He previously served as Director of Artificial Intelligence (AI) at Alion Science and Technology and Chief Scientist of the AI Laboratory at Engility Corporation. Chris began his national security career as an intelligence analyst in the FBI Laboratory's Terrorist Explosive Device Analytical Center (TEDAC) and served as an FBI representative to the White House subcommittee drafting Presidential Policy Directive 17.

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Register

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Date & Time: Wednesday, April 22, 2018