Annual-Report-2024 - Flipbook - Page 71
Anna Dawid-Łękowska during her presentation
Artificial Intelligence in Physics
Session I moderated by Scientific Co-Chair Rainer Blatt,
University of Innsbruck, Austria
Quantum Machine Learning in High-Energy Physics
Vasilis Belis, ETH Zurich, Switzerland
Thorax-Encompassing Multi-Modality PET/CT Deep
Learning Model for Resected NSCLC Prognostication:
A Retrospective Multi-Centre Study
Jaryd Christie, University of Western Ontario, Canada
Automated Detection of Laser Cooling Schemes
for Ultracold Atoms and Molecules
Anna Dawid-Łękowska, Flatiron Institute,
United States of America
Inferring Heisenberg Hamiltonians From a Spin
Spectral Function for a Quantum Spin Liquid With
Machine Learning
Netta Karjalainen, University of Helsinki, Finland
Combination of Artificial Intelligence and Disordered
Medium to Overcome Long-Standing Dilemma of
Ultrasound Imaging
Wei Wang, Nanjing University, China
Towards Aerodynamic Flow Predictions With PhysicsInformed Neural Networks and Quantum Circuits
Simon Wassing, German Aerospace Center – DLR,
Germany
Optimizing ARPES Experiments Through AI:
Achieving Precise Photon Beam Polarization With
Graphene Calibration
Ridha Eddhib, University of West Bohemia,
Czech Republic
69
