AWS Summit: Idaho National Lab’s AI Applications in Nuclear Technology
Chris Ritter, Division Director of Scientific Computing and AI, Idaho National Laboratory
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.
Check out our full coverage of the conference.
-
Chris Ritter Division Director of Scientific Computing and AI Idaho National Laboratory
-
Endpoint Visibility, Faster Patching Key to Federal Cybersecurity Amid Calls for Speed
Federal agencies face major hurdles modernizing legacy systems, but GAO's Kevin Walsh explains how continuous modernization can help.
16m watch -
HHS Identifies Three Priorities for Clinical AI Adoption
Officials outlined efforts for implementation support, coordination and evaluation standards with new AI regulatory proposals expected soon.
5m read -
DOT Pushes Toward Passwordless Future as Zero-Trust Matures
Enterprise Security Architect Austin Clark says zero-trust adoption is accelerating as users embrace faster, more secure authentication experiences.
10m watch -
Misunderstood ATOs Are Costing Agencies Time, Money
Institutional confusion about ATOs is creating avoidable delays, while modern DevSecOps approaches offer a faster path to software delivery.
9m watch
