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AWS Summit 2025: Idaho National Lab’s AI Applications in Nuclear Technology

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Manage episode 488564703 series 3559856
Content provided by GovCIO Media & Research and GovCIO Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GovCIO Media & Research and GovCIO Media 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://ppacc.player.fm/legal.

The Idaho National Laboratory is working on a suite of artificial intelligence capabilities to enhance nuclear energy research. During an interview at AWS Summit in Washington, D.C., the lab’s Scientific Computing Division Director Chris Ritter discussed how the organization is using generative AI to address complex scientific challenges across domains like reactor design and operations.

The lab successfully created a digital twin of an aging reactor, streaming real-time data to the cloud and using multiple machine-learning models to predict operational parameters. Ritter emphasized the broader implications of AI integration in these areas, like how “AI jams” engage scientists and lab directors to explore it. The approach represents a comprehensive strategy to not only advance scientific research, but also prepare the workforce for an AI-driven future.

  continue reading

357 episodes

Artwork
iconShare
 
Manage episode 488564703 series 3559856
Content provided by GovCIO Media & Research and GovCIO Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by GovCIO Media & Research and GovCIO Media 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://ppacc.player.fm/legal.

The Idaho National Laboratory is working on a suite of artificial intelligence capabilities to enhance nuclear energy research. During an interview at AWS Summit in Washington, D.C., the lab’s Scientific Computing Division Director Chris Ritter discussed how the organization is using generative AI to address complex scientific challenges across domains like reactor design and operations.

The lab successfully created a digital twin of an aging reactor, streaming real-time data to the cloud and using multiple machine-learning models to predict operational parameters. Ritter emphasized the broader implications of AI integration in these areas, like how “AI jams” engage scientists and lab directors to explore it. The approach represents a comprehensive strategy to not only advance scientific research, but also prepare the workforce for an AI-driven future.

  continue reading

357 episodes

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