INL’s vision is to change the world’s energy future and secure our nation’s critical infrastructure. To support INL’s research missions, we have five goals.

1. Methods: Use AI/ML to bridge existing research gaps.
2. Data: Use INL’s unique data sources and expertise to leverage AI/ML for new insights.
3. Tools: Innovate an agile AI/ML computing infrastructure.
4. People: Develop and mature researchers’ AI/ML capabilities.
5. Security: Ensure trustworthy AI/ML that is explainable to end users and decision makers.

Artificial intelligence and machine learning support a variety of research areas and useful applications:

NUCLEAR ENERGY:

1. Detecting process anomalies in a nuclear power plant before they develop into significant events.
2. Automating manual activities of a nuclear power plant operations by applying natural language processing methods to documents that are generated daily.
3. Applying classical and machine learning-based image processing methods to automate manual and visual tasks in a plant.
4. Creating risk-informed predictive maintenance strategies for nuclear power plant, based on predictive models developed to monitor an identified plant asset.
5. Developing intelligent operator aids to enhance the operator’s ability to monitor nuclear plant systems and components.
6. Utilizing virtual operators to create a simulation that accounts for a variety of performance-affecting human factors.