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Artificial Intelligence and Machine Learning in CAE Applications

Artificial Intelligence and Machine Learning in CAE Applications Conference

AI - What Works, What’s New, and What to Trust

 

28 – 29 October 2026 | Munich, Germany

H​eld in conjunction with the SPDM Conference

More Info

 

C​all for Presentations Open -
Deadline: 20 May 2026

 

Machine learning and surrogate models have been part of engineering practice for decades. In particular, surrogate-based approaches coupled with numerical simulation are an industrial standard for design optimization. They enable efficient exploration of large design spaces based on integral quantities such as loads or efficiencies.

Today, a new generation of predictive models is emerging. These models go beyond integral values – they can predict high-dimensional outputs such as spatially and time-resolved quantities. While the potential impact on CAE-based workflows is significant, especially in accelerating processes and being free of traditionally limiting CAD design parameters, industry adoption is slow. Questions regarding robustness, data generation, generalization, validation, and integration into existing simulation environments remain.

 

This conference will bring together the CAE and AI communities to:

  • Explore what is already possible in CAE with AI, where current limitations are, and what engineers should pay attention to when adopting these new models in practice.
  • Discuss trustworthy machine learning, covering topics like model explainability, uncertainty quantification, confidence estimation, and validation strategies that are specifically suitable for engineering applications.

 

Call for Presentations

If you are in industry or academia and want to share practical experiences, methodological advances, and critical reflections on the use of machine learning in CAE, get involved, make a contribution, and share your knowledge. Submit your abstract today.

S​ubmit An Abstract

We also welcome contributions on other applications of machine learning in CAE, including turbulence modelling, data-driven physical modelling, geometry and CAD-related methods, mesh generation, machine learning and data analysis for post-processing, and all other related topics.


T​wo conferences in one place

The Artificial Intelligence and Machine Learning in CAE Applications Conference takes place in conjunction with the SPDM Conference The second day of the SPDM Conference is dedicated to SPDM and AI/ML, which will also be the focus of the first day of the Artificial Intelligence and Machine Learning in CAE Applications Conference.

Delegates will be able to attend either one or both conferences with an overlapping session on day two to exploit the synergies between the two focus subjects.

Conference Format

27 October

Day 1 of the SPDM conference

10:30 – 12:00 SPDM plenary presentations and keynote speakers

12:00 - 13:00 Lunch

13:00 – 18:00 SPDM presentations (coffee break in between)

18:00 – 21:00 SPDM conference get-together in the exhibition

 

28 October

Day 2 of the SPDM conference - Day 1 of the Artificial Intelligence and Machine Learning in CAE Applications Conference

08:30 – 09:45 SPDM presentations

10:30 – 12:00 SPDM/AI-ML plenary presentations and keynote speakers

12:00 – 13:00 Lunch

13:00 – 18:00 SPDM/AI-ML presentations (coffee break in between)

18:00 – 21:00 Artificial Intelligence and Machine Learning in CAE Applications Conference get-together in the exhibition

29 October

Day 2 of the Artificial Intelligence and Machine Learning in CAE Applications Conference

08:30 – 10:00 AI-ML plenary presentations and keynote speakers

10:30 – 12:00 AI-ML presentations

12:00 – 13:00 Lunch

13:00 – 16:30 AI-ML presentations (coffee break in between)

Schedule and agenda subject to change.

Details

Event Type User Conference
Member Price £744.29 | $1001.13 | €860.00
Non-member Price £952.00 | $1280.51 | €1100.00
Credit Price Free when using 4 Member Credits

Dates

Start Date End Date Location
28 Oct 202629 Oct 2026Munich, Germany

A​bstract submission

  • Please submit your abstract by 20 May 2026.

S​ubmit Your Abstract Here


R​egistration

Y​ou have two registration options:

  • R​egister for the AI Conference only here
  • R​egister for both the SPDM and AI Conference (save 25%) here

O​rganisation

Conference fees include attendance, lunches, coffee breaks, a get-together and conference proceedings.

Accommodation is not included.

If your company is a member but does not have sufficient seminar credits available, you can purchase seminar credits for €215 per seminar credit.


O​rganisation

The conference fees include attendance, lunches, coffee breaks, a get-together and conference proceedings.

Accommodation is not included.

If your company is member but does not have sufficient seminar credits available, you can purchase seminar credits for €215 per seminar credit.

V​enue

Science Congress Center
Walther-von-Dyck-Straße 10
85748 Garching bei München
Germany
Science Congress Center Munich

We look forward to welcoming you at the Science Congress Center Munich. Thanks to its excellent location between Munich Airport and Munich Central Station, you can easily reach the congress center by train, car, plane or bus/taxi. The underground station "U6 - Garching Forschungszentrum" is located directly in front of the entrance, parking is available for a fee in the nearby parking garage.

A​ccommodation

Connected and close-by hotels:

Courtyard by Marriott München Garching
Walther-von-Dyck-Straße 12
85748 Garching bei München
info@courtyard-garching.de
+49 (0) 89 61425 0

Stellaris Apartment Hotel Garching
Walther-von-Dyck-Straße 16
85748 Garching bei München
info@stellaris-apartment.de
+49 (0) 89 614250 61

Sponsorship opportunities

There are several outstanding opportunities available for your company to sponsor or exhibit at the conference, giving you maximum exposure to a highly targeted audience of delegates, who are all directly involved in the topic. Please have a look at the brochure below:

2026-european-spdm-ai-ml-exhibition-sponsoring.pdf

Conference Language

English


Organisation

NAFEMS Deutschland, Österreich, Schweiz GmbH
Griesstraße 20
85567 Grafing b. München, Germany
Tel. +49 176 217 984 01
Fax +49 3 22 11 08 99 13 41
e-mail: info@nafems.de

C​ancellation Policy