Date: October 5 – December 4, 2026

Time: Full-day program; please see the individual event pages for details

Venue: Johann Radon Institute for Computational and Applied Mathematics (RICAM), Altenberger Str. 69, 4040 Linz, Austria

The Special Semester on AI in Scientific Computing will be held at the Johann Radon Institute for Computational and Applied Mathematics (RICAM) from October 5 to December 4, 2026.

The program includes a training school and five workshops covering geometry and complexity in learning, generative AI, numerical stability in deep learning, learning-based methods in scientific computing, optimization in AI, and complexity theory in machine learning.

Organizer:Philipp Grohs (University of Vienna & RICAM)

For details and registration, please visit the Special Semester website and the online registration page.
 

General Information PDF

Program

Training School
October 5–9, 2026
Geometry and Complexity in Learning
Organizer: Daniel Bartl, National University of Singapore
More information

Workshop 1
October 19–23, 2026
Generative AI
Organizers: Julius Berner, NVIDIA; Martin Holler, University of Graz
More information

Workshop 2
November 2–6, 2026
Numerical Stability in Deep Learning
Organizers: Stanislav Budzinskiy, University of Vienna; Philipp Petersen, University of Vienna
More information

Workshop 3
November 16–20, 2026
Learning-Based Methods in Scientific Computing
Organizers: Philipp Grohs, University of Vienna & RICAM; Konstantin Rusch, ELLIS Tübingen
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Workshop 4
November 23–27, 2026
Optimization in AI
Organizer: Yurii Malitskyi, University of Vienna
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Workshop 5
November 30–December 4, 2026
Complexity Theory in Machine Learning
Organizers: Michael Feischl, TU Wien; Mario Ullrich, JKU
More information

Registration:
Participation requires registration. Registration is free but mandatory.
Online registration form