INL is working to raise awareness of its work in AI/ML and encourage more researchers to use the available resources. We are making our research outcomes available through technical reports and a series of symposia focusing on how AI/ML is impacting science and engineering. The presentations focus on the latest advances in AI/ML, current applications in the nuclear industry, research opportunities and ongoing collaborations.
INL AI/ML Symposium 9.0 held Sept. 8, 2022
The 9.0 Symposium focused on natural language processing methods and applications.
Presentation Slides
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INL AI/ML Symposium 8.0 held May 26, 2022
The 8.0 symposium focused on computation infrastructure in artificial intelligence and machine learning.
Presentation Slides
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INL AI/ML Symposium 7.0 held February 10, 2022
The 7.0 Symposium focused on addressing data issues and using data for different science and engineering applications.
Presentation Slides
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INL AI/ML Symposium 6.0 held Oct. 14, 2021
The 6.0 Symposium focused on resilience, both in resilience applications of AI/ML or in resilience in AI/ML approaches.
Presentation Slides
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INL AI/ML Symposium 5.0 held June 8, 2021
The 5.0 Symposium focused on trustworthy AI/ML.
Presentation Slides
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INL AI/ML Symposium. 4.0 held February 9, 2021
The 4.0 Symposium focused on trustworthy AI/ML.
Presentation Slides
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INL AI/ML Symposium 3.0 held October 16, 2020
The 3.0 Symposium discussed how ML and AI are currently being applied in the industry, including opportunities for engagement and collaboration.
Presentation Slides
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INL AI/ML Symposium 2.0 held July 9, 2020
The 2.0 Symposium discussed how ML and AI are currently being applied in the industry, including opportunities for engagement and collaboration.
Presentation Slides
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INL AI/ML Symposium 1.0 held April 17, 2020
INL held the first symposium on AI/ML approaches and activities related to science and engineering in April. The 1.0 Symposium focused on internal-to-INL activities and capabilities. A total of eleven speakers discussed a variety of current topics and future applications. Over 200 INL staff participated in the symposium.
Topics included:
Presentation Slides
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Artificial Intelligence and Machine Learning - INL
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