AI & DEEP LEARNING
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Date: July 11, 2019
Time: 9:00am – 10:00am PDT
Duration: 1 hour

NVIDIA Clara AI was created to provide developers and data scientists with SDKs and frameworks that accelerate the development and deployment of AI algorithms for Medical Imaging workflows.

In this webinar, data scientists and developers will receive a walk-through of reference applications and learn about the latest features of the NVIDIA Clara AI toolkit and how they can get engaged with Clara Train and Clara Deploy SDKs.

By attending this webinar, you'll learn:
  • How the Clara AI toolkit can help achieve faster creation of annotated datasets
  • How the datasets created can be used for transfer learning
  • How quality trained algorithms can be taken into a scalable deployment environment

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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

Alvin Ihsani

Solutions Architect, NVIDIA

Alvin Ihsani is a Deep Learning Solutions Architect researching and developing medical imaging applications and AI infrastructure in a clinical setting. Alvin's background is in applied mathematics in medical imaging for reconstruction, segmentation, and registration, and more recently in deep-learning based image reconstruction and segmentation.

Ahmed Harouni

Solutions Architect, NVIDIA

Ahmed Harouni is a Deep Learning Solutions Architect for medical imaging. Ahmed received his PhD in Electrical and Computer Engineering from Johns Hopkins University focusing on MR image acquisition and image processing. Recently he has been using deep-learning for image segmentation, registration, disease classification and localization.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018