ECOMAI: AI-Driven MBSE Methodologies in a Diverse Ecosystem

The semiconductor industry faces a critical challenge: bridging technological complexity, energy efficiency demands, and a widening skills gap. Traditional engineering approaches are falling short in an era of rapid innovation and increasing technological sophistication. Organizations are desperately seeking transformative solutions that can integrate advanced technologies and address the evolving demands of a digital-first world.

Join Salomé Wagner as she unveils the groundbreaking ECOMAI project—a pioneering initiative at the intersection of AI, Model-Based Systems Engineering, and semiconductor innovation. Supported by the European Union’s European Chips Act, Salomé will explore how this cutting-edge project addresses critical industry challenges, from enhancing energy efficiency to bridging the skills gap in semiconductor engineering. Through her presentation, you’ll discover how AI and advanced systems engineering are reshaping technological innovation, creating a transformative ecosystem that connects industry and academic expertise.

What You Will Learn:

1. Discover the innovative MBSE approach developed by the ECOMAI project to address challenges in advanced systems engineering.
2. Learn how ECOMAI tackles energy efficiency and skill shortages through collaborative efforts between academia and industry.
3. Explore the ECOMAI Design Kit and the ECOMOD Modelling Toolbox, designed for AI-enhanced drive system development.
4. Understand the transformative role of AI and MBSE in shaping the future of semiconductor system design and engineering practices.

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