Engineering Is Getting More Complex. Your Tools Shouldn’t Slow You Down.
Today’s engineering teams are under pressure to-
Model increasingly complex, multi-domain systems
Reduce iteration cycles while maintaining rigor
Integrate data-driven methods with physics-based models
Deliver insights faster without compromising accuracy
In recent years, software engineering has experienced astounding benefits of AI and agentic workflows. However, hardware engineering across domains has not experienced the same transformation.
This workshop is designed to explore a different approach.
A Practical, Workflow-Focused Session for Engineers Leveraging Agentic Intelligence
Join us in Nuremberg for a hands-on seminar focused on modern modeling and simulation practices using Dyad, an AI-native simulation and modeling platform. You’ll explore how AI-assisted tools, symbolic modeling, and Scientific Machine Learning (SciML) can accelerate system design and analysis.
Through guided exercises and live demonstrations, participants will:
Build acausal and synchronous system models
Apply symbolic manipulation for advanced analysis
Experience AI-assisted modeling workflows
Explore how physics-based modeling integrates with SciML
Preview emerging capabilities across HVAC, multibody systems, and state machines
As part of the session, you will work directly with Dyad, an AI-native modeling and simulation environment designed to streamline engineering workflows.
Dyad combines a domain specific modeling language, a GUI for system design, an intelligent modeling agent with integrated SciML capabilities.
Who Should Attend
This workshop is designed for engineers, system architects, simulation specialists, R&D and modeling teams, particularly those exploring AI-assisted design workflows and next-generation modeling approaches.
Event Details
Date: Friday, March 20
Location: Nuremberg
Time: 10:00–14:00 (followed by open discussion)
This is a publicly hosted workshop with limited capacity to ensure meaningful interaction and discussion.
Secure Your Seat
Due to limited seating, email confirmation is required to reserve your place. Register early to ensure availability. Additional event details will be shared upon confirmation.
