This workshop will introduce the participants to the applications of AI for simulation engineering. It will start with a beginner-friendly introduction to how AI systems work and how they are built. It will then cover use cases where AI outperforms traditional methods as well as cases where AI is not the optimal choice. Interactive elements and a Q&A are integrated to enhance understanding and engagement. Whether you're a beginner or have some knowledge of AI, this workshop will provide a balanced and realistic perspective on the evolving intersection of AI and simulation engineering.
Moderated by F. Santandrea (RISE)
In this interactive workshop, participants will have the opportunity to familiarize with the main steps of Uncertainty Quantification (UQ) in computational models by reviewing an example model under the guidance of the discussion coordinator. Constructive criticism and active participation to the discussion are strongly encouraged: feel free to bring in questions and example cases from your work! No prior knowledge about UQ is required to attend this training but, if available, it will be appropriately updated in conformity with Bayes’ theorem.
Moderator bio:
Fabio received his PhD in physics from the University of Gothenburg, with a thesis on numerical modelling of carbon nanotubes-based electromechanical systems. Since 2011, he´s been working as a consulting computational engineer, working primarily with structural and electromagnetic Finite Element Analysis to support design, development, and certification of products in the offshore and automotive industry. After joining RISE in 2016, he´s been conducting applied research projects targeting uncertainty analysis and quality assurance of numerical simulations in engineering applications. Passionate about research and implementation of basic scientific methods and concepts to industrial problems and societal challenges, particularly regarding the assessment of risk and uncertainty. Member of the NAFEMS Stochastics Working Group and the NAFEMS Nordics Steering Committee.
Moderated by SustainedBizz
In the workshop, we will guide you through the key elements of planning and preparing a CAE project supported by artificial intelligence (AI). We focus on how to achieve maximum benefit with minimal simulations to effectively train and scale AI models with the results. Learn how simulations can be strategically aligned from the start to optimize AI integration. The workshop provides practical guidance on project planning, including selecting and preparing data, defining simulation goals and efficiently using AI to improve CAE processes. Gain insight into AI-supported work to increase your project efficiency and promote innovative solutions. The workshop is aimed at professionals who are already familiar with CAE and now want to expand and optimize their processes through the use of AI technologies in order to realize innovative solutions faster and more efficiently.
... more to come soon.
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