Venerdì 30 maggio, alle ore 15.00, Catherine Stanley (Data & AI Manager at Westinghouse Electric Company) terrà il seminario online dal titolo “Westinghouse Nuclear AI with HiVE and Bertha“.
L’incontro fa parte del ciclo 2024-25 dal titolo “International Webinars in Nuclear Energy”. Il ciclo è organizzato nell’ambito del progetto ENEN2plus, dell’European Nuclear Education Network.
Abstract
This webinar will delve into the transformative potential of artificial intelligence in the nuclear industry. Cassie Stanley, Data & AI Manager at Westinghouse Electric Company, will guide us through the fundamentals of AI and its specific applications within the nuclear sector. The session will cover:
- AI Use Cases in Nuclear: Explore how AI is being leveraged in HiVE and Bertha to enhance operational efficiency, safety, and innovation in nuclear power plants.
- Nuclear-Specific GenAI Demonstration: Witness a live demonstration of Bertha, a generative AI model designed for nuclear applications, and see how it handles nuclear documentation to streamline processes and improve decision-making.
- Q&A Session: Engage in a 15-20 minute interactive Q&A session where you can ask Cassie Stanley about AI applications, challenges, and future prospects in the nuclear industry.
Cassie Stanley is the Data & AI Senior Manager within the Digital & Innovation organization at Westinghouse Electric Company. Since joining Westinghouse in 2020, Cassie has held roles as a data engineer, analyst, and Data Analytics Team Lead. She has a Bachelor of Science in Information Sciences and Technology from Pennsylvania State University, with a focus on People, Society, and Organizations. She is currently working on her MBA from Penn State University. Cassie has been instrumental in creating an AI Center of Excellence at Westinghouse, growing her team to meet the increasing demands for AI. She has contributed to the development of architecture and policy that enable data and AI to be accessible, governed, and democratized. Cassie is passionate about educating others on the use of technology to support long-term operations, efficient manufacturing, and optimization in the nuclear industry.
