AI & Deep Learning
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Date: August 27, 2019
Time: 10:00am – 11:00am PT
Duration: 1 hour


As Moore’s Law is ending, the convergence of HPC and AI is emerging with a new set of methods to complement conventional modeling, simulation, and data analytics to increase the potential to solve science’s greatest challenges.

By attending this webinar, you’ll get the following:
  • Overview of the new methods and then describe how they are being applied by global research teams across multiple science domains
  • Results that are being achieved dramatically improve time to solution and accuracy at levels that would not have been possible without new methods.
  • How to train a neural network for a custom task, like avoiding collisions with JetBot 
  • Examples where the methods that are being proven using offline workflows, which have the potential to be directly applied to real time control
  • Summarize the key features of the NVIDIA CUDA-X platform that is at the foundation of the science successes and to easily deploy the software with NGC

WEBINAR REGISTRATION

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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

Tom Gibbs

Manager, Developer Relations, NVIDIA

Tom is currently responsible for strategy and implementation of programs to enable and promote developers to take full advantage of NVIDIA technology. Tom brings over 30 years of experience in HPC, and has applications expertise in industries ranging from Physics, Aerospace, Healthcare, Life Sciences, Energy and Financial Services.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018