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
-
Inside the Federal EHR Modernization Effort
FEHRM CTO Lance Scott discusses efforts to modernize and improve interoperability of electronic health records across the federal government.
7m watch -
Space Force Charts Shift to Warfighting Force for 2040
Officials outlined how new missions, resilient satellites, maneuver and AI are shaping the service’s future force.
3m read -
SSA Targets Growing Threat of AI-Enabled Fraud
SSA is strengthening federal coordination, AI tools and workforce training to detect and prevent increasingly sophisticated fraud schemes.
3m read -
AI Forces a Rethink of Federal Contracting Models
Federal acquisition leaders are examining how contracts, labor categories and pricing models evolve as AI changes technology delivery.
5m read