09:00
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Welcome to the Inverted School of Computing
-
Alberto Pace
(CERN)
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09:15
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Federated Learning with CAFEIN for Decentralized, Privacy preserving and Secure AI development
-
Diogo Reis Santos
(CERN)
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10:15
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Understanding Large Language Models and their Applications in Code Generation
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Andrea Valenzuela Ramirez
(CERN)
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11:15
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--- Coffee and networking ---
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11:40
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LLMs in Production: RAG pipelines and beyond
-
Jack Charlie Munday
(CERN)
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09:00
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Under the Hood of the Snake: Behind the scenes of Python
-
Sten Astrand
(Lund University)
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10:00
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Reinforcement Learning in Particle Accelerators: a practical example (1/2)
-
Joel Axel Wulff
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11:00
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--- Coffee and networking ---
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11:30
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Reinforcement Learning in Particle Accelerators: a practical example (2/2)
-
Joel Axel Wulff
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09:00
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Maximum Likelihood Fitting
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Simon Thiele
(University of Bonn (DE))
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10:00
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Illuminating the dark side of statistics: Bayesian inference in particle physics
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Lorenz Gartner
(LMU)
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11:00
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--- Coffee and networking ---
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11:30
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Efficient Workflow Management in High-Energy Physics
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Cedric Verstege
(KIT - Karlsruhe Institute of Technology (DE))
|
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09:00
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Breaking RSA and picking up the pieces
-
Vasvi Sharma
|
10:00
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On equivariance and explainability
-
Kaare Endrup Iversen
(Lund University (SE))
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11:00
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--- Coffee and networking ---
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11:30
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Data Processing with FPGAs: Parallel Computing on Compact Configurable Logic
-
Peter Hinderberger
(Technical University of Munich)
|
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12:40
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--- Lunch and networking ---
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14:00
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The Algorithm Advantage: Outperforming Hardware with Smarter Code
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Andrea Germinario
|
15:00
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WASM: the future of computing
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Alberto Pimpo
|
16:00
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--- Coffee and networking ---
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16:30
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Exercise: The Algorithm Advantage: Outperforming Hardware with Smarter Code
-
Andrea Germinario
(513-1-024)
|
16:30
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Exercise: WASM: the future of computing
-
Alberto Pimpo
|
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12:30
|
--- Lunch and networking ---
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14:15
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Code You Won’t Regret (Too Much): How to Write Maintainable Code
-
Niels Alexander Buegel
|
15:15
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Exercise: Understanding Large Language Models and their Applications in Code Generation
-
Andrea Valenzuela Ramirez
(CERN)
|
16:15
|
--- Coffee ---
|
16:45
|
Exercise: LLMs in Production: RAG pipelines and beyond
-
Jack Charlie Munday
(CERN)
(513-1-024)
|
16:45
|
Exercise: Under the Hood of the Snake: Behind the scenes of Python
-
Sten Astrand
(Lund University)
|
|
12:30
|
--- Lunch and networking ---
|
14:00
|
Automate All the Things: CI/CD for the Bold and the Brave
-
Elizabeth Mamtsits
|
15:00
|
Exercise: Reinforcement Learning in Particle Accelerators: a practical example
-
Joel Axel Wulff
|
16:00
|
--- Coffee and networking ---
|
16:30
|
Exercise: Maximum Likelihood Fitting
-
Simon Thiele
(University of Bonn (DE))
(31/3-004 - IT Amphitheatre)
|
17:30
|
Exercise: Bayesian inference in particle physics
-
Lorenz Gartner
(LMU)
(31/3-004 - IT Amphitheatre)
|
|
12:30
|
--- Lunch and networking ---
|
14:00
|
Web for the win! A crash course in building web apps
-
George Coldstream
|
15:00
|
Closing remarks
-
Alberto Pace
(CERN)
|
15:15
|
--- Coffee and networking ---
|
15:45
|
Exercise: Automate All the Things: CI/CD for the Bold and the Brave
-
Elizabeth Mamtsits
(513-1-024)
|
16:45
|
Exercise: Efficient Workflow Management in High-Energy Physics
-
Cedric Verstege
(KIT - Karlsruhe Institute of Technology (DE))
(31-S-023)
|
16:45
|
Exercise: Web for the win! A crash course in building web apps
-
George Coldstream
(513-1-024)
|
|