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QUC Summer School on “A.I. in High Energy Physics,” Part II, Recent Development in AI

24–28 Aug 2026
KIAS
Asia/Seoul timezone

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Contribution List

10 out of 10 displayed
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  1. 1. Quantum Machine Learning for Fundamental Physics
    Dr Michael Spannowsky
    24/08/2026, 09:30
  2. 2. Agentic AI for Theoretical Physics: From Research Questions to Verifiable Results
    Dr Sven Krippendorf (Cambridge U. DAMTP)
    24/08/2026, 10:30
  3. 3. Artificial Intelligence for High-Energy Physics
    Dr Jack Araz (City St. George’s, University of London)
    24/08/2026, 11:40
  4. 4. Student projects
    24/08/2026, 14:30

    Student work on different projects guided by each lecturer

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  5. 5. Group work
    24/08/2026, 16:00

    Student collaboration among themselves

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  6. 6. Quantum Machine Learning for Fundamental Physics
    Dr Michael Spannowsky (KIT, Karlsruhe)
    25/08/2026, 09:30
  7. 7. Agentic AI for Theoretical Physics: From Research Questions to Verifiable Results
    Dr Sven Krippendorf (Cambridge U. DAMTP)
    25/08/2026, 10:30
  8. 8. Artificial Intelligence for High-Energy Physics
    Dr Jack Araz (City St. George’s, University of London)
    25/08/2026, 11:40
  9. 9. Student project
    25/08/2026, 14:30
  10. 10. Group work
    25/08/2026, 16:00