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SciVis Unveils a Billion Cells, Covid-19 & Invisible Monsters

 
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Manage episode 297821617 series 1017507
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Scientific visualization (SciVis) is providing new insights in health care and many other research areas in ways that we couldn’t imagine a decade ago. It’s an evolving field where extracting visualizations from very large data sets can improve analysis, diagnosis and patient outcomes while reducing costs – or even uncover hidden discrimination. Hear from Teodora (Dora) Szasz of the University of Chicago and Donna Nemshick of Intel on how SciVis can be transformative in areas such as understanding a billion simulated cells for tumors, creating the Covid-19 model, pioneering medical care, and even studying images in children’s books for gender inequality.
Listen in. [25:51]

Guests:
Teodora (Dora) Szasz, computational scientist, Research Computing Center of University of Chicago

Donna Nemshick, performance validation lead, Intel Advanced Rendering & Visualization Architecture Group

To learn more
Intel oneAPI Rendering Toolkit | Free Download | Innovative Usages Video

University of Chicago Research Computing Center

University of Chicago Visualization Laboratory

  continue reading

86 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on September 08, 2022 18:08 (1+ y ago). Last successful fetch was on August 08, 2022 22:24 (1+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 297821617 series 1017507
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Scientific visualization (SciVis) is providing new insights in health care and many other research areas in ways that we couldn’t imagine a decade ago. It’s an evolving field where extracting visualizations from very large data sets can improve analysis, diagnosis and patient outcomes while reducing costs – or even uncover hidden discrimination. Hear from Teodora (Dora) Szasz of the University of Chicago and Donna Nemshick of Intel on how SciVis can be transformative in areas such as understanding a billion simulated cells for tumors, creating the Covid-19 model, pioneering medical care, and even studying images in children’s books for gender inequality.
Listen in. [25:51]

Guests:
Teodora (Dora) Szasz, computational scientist, Research Computing Center of University of Chicago

Donna Nemshick, performance validation lead, Intel Advanced Rendering & Visualization Architecture Group

To learn more
Intel oneAPI Rendering Toolkit | Free Download | Innovative Usages Video

University of Chicago Research Computing Center

University of Chicago Visualization Laboratory

  continue reading

86 episodes

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