Présidents de session
COLOURS School: Opening
- Samuel Farrens (CosmoStat, CEA Paris-Saclay)
COLOURS School: Cosmology I
- Calum Murray (CosmoStat, CEA Paris-Saclay)
COLOURS School: Cosmology II
- Natalia Porqueres (CosmoStat, CEA Paris-Saclay)
COLOURS School: Data Science I
- Samuel Farrens (CosmoStat, CEA Paris-Saclay)
COLOURS School: Communication
- Melissa Ann Thomas (CentraleSupélec)
COLOURS School: Cosmology III
- Stefano Camera (University of Turin)
COLOURS School: Cosmology IV
- Giovanni Aricò (INFN Bologna)
COLOURS School: Cosmology V
- Andrina Nicola (University of Bonn)
COLOURS School: Transferable Skills
- Il n'a pas de président de session pour ce bloc
COLOURS School: Data Science II - Group A
- Il n'a pas de président de session pour ce bloc
COLOURS School: Data Science II - Group B
- Il n'a pas de président de session pour ce bloc
COLOURS School: Pasqal Site Visit - Group B
- Il n'a pas de président de session pour ce bloc
COLOURS School: Pasqal Site Visit - Group A
- Il n'a pas de président de session pour ce bloc
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Yves BALKANSKI (Institut Pascal - UPSaclay)02/06/2025 10:50
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Samuel Farrens (CosmoStat, CEA Paris-Saclay)02/06/2025 11:10
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Calum Murray (CosmoStat, CEA Paris-Saclay)02/06/2025 11:30
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Natalia Porqueres (CosmoStat, CEA Paris-Saclay)02/06/2025 14:30
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Natalia Porqueres (CosmoStat, CEA Paris-Saclay)02/06/2025 16:30
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Samuel Farrens (CosmoStat, CEA Paris-Saclay)03/06/2025 09:30
A hands-on guide to making robust and professional software
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Samuel Farrens (CosmoStat, CEA Paris-Saclay)03/06/2025 11:30
A hands-on guide to making robust and professional software
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Melissa Ann Thomas (CentraleSupélec)04/06/2025 09:30
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Melissa Ann Thomas (CentraleSupélec)04/06/2025 11:30
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Stefano Camera (University of Turin)05/06/2025 09:30
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Stefano Camera (University of Turin)05/06/2025 11:30
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Giovanni Aricò (INFN Bologna)05/06/2025 14:30
Numerical simulations currently provide our most accurate predictions for structure formation in the Universe, in a wide range of scales and redshifts.
We will overview cosmological N-body simulations, discussing common assumptions, approximations and regime of applicability.Furthermore, we will introduce the main hydrodynamical schemes, and review the sub-grid prescriptions used to model...
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Giovanni Aricò (INFN Bologna)05/06/2025 16:30
Numerical simulations currently provide our most accurate predictions for structure formation in the Universe, in a wide range of scales and redshifts.
We will overview cosmological N-body simulations, discussing common assumptions, approximations and regime of applicability.Furthermore, we will introduce the main hydrodynamical schemes, and review the sub-grid prescriptions used to model...
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Andrina Nicola (University of Bonn)06/06/2025 09:30
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Andrina Nicola (University of Bonn)06/06/2025 11:30
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Prina Patel (Mastercard)06/06/2025 14:30
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Ben Hoyle (Carl ZEISS AG)06/06/2025 14:50
In this talk I discuss how Generative AI is being adopted by the German production compamy Carl ZEISS, and the steps which have been taken to ensure usage aligns with our values. I highlight amazing use-cases, cutting edge projects & applications, and try to give some view of what future adoption might look. I will mention how we are pushing on the topic of employee training, to ensure...
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Denise Lanzieri (Sony CSL- Rome)06/06/2025 15:10
In a world facing increasingly complex global challenges, creativity and adaptability are no longer optional—they are essential. This session explores how Artificial Intelligence (AI) can support and enhance human creativity to foster innovative, context-aware solutions across diverse fields—from sustainability to social transformation, and from theoretical foundations to the arts. Drawing on...
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Fred Ngolè (CEA Paris-Saclay)06/06/2025 15:30
Empirical risk minimization learning paradigm works under the assumption that training and test data are identically distributed. However, this hypothesis is seldom met in practice, due to several factors including changes in the underlying physical process generating the data, data acquisition conditions or sensors drifts. This problem is known as distributional shift between the reference...
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Samuel Farrens (CosmoStat, CEA Paris-Saclay)06/06/2025 16:20
Panel members:
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- Ben Hoyle (Zeiss, DE)
- Denise Lanzieri (Sony CSL, IT)
- Fred Ngolè Mboula (CEA LETI, FR)
- Prina Patel (Mastercard, UK)