ML21201A365
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| ML21201A365 | |
| Person / Time | |
|---|---|
| Issue date: | 07/07/2021 |
| From: | Theresa Lalain NRC/RES/DSA |
| To: | |
| Matthew D | |
| Shared Package | |
| ML21201A227 | List: |
| References | |
| Download: ML21201A365 (6) | |
Text
Opening Remarks Theresa Lalain, Ph.D.
Deputy Director, Division of Systems Analysis Office of Nuclear Regulatory Research
WELCOME
- Over 250 registered attendees
- Participation from U.S.,
Canada, Spain, France, UAE, and Japan
Regulatory Purpose
- NRC recognizes a need to use data analytics for regulatory enhancements as part of its effort to become a modern, risk-informed regulator1
- The nuclear industry is investigating and using AI applications; therefore, the NRC must be prepared to understand and evaluate the technology
Data Science and Artificial Intelligence Overview
- Artificial Intelligence (AI)
- Build intelligent smart machines
- Learn from data and deliver predictive models
- Natural Language Processing (NLP)
- Process and analyze large amounts of natural language data
- Deep Learning (DL)
- ML methods based on artificial neural networks
Engagement and Initiatives SHARING KNOWLEDGE AND SEEKING STAKEHOLDER INPUT LEVERAGING RESEARCH ACTIVITIES NRC is engaging and participating with external entities to best prepare for AI impacts on regulatory processes and decisionmaking
Upcoming Workshops
- Current Topics
- AUGUST 2021
- Future Focused Initiatives
- SEPT/OCT 2021