The combination of Virtual Twins and ML/AI enables real-time monitoring and adaptive control of complex semiconductor manufacturing environments. Integrating Virtual Twins with Machine Learning and Artificial Intelligence leads to:

• Reduced Downtime
• Enhanced Scalability
• Improved Resource Efficiency
• More Sustainable Production Practices

Join Dassault Systèmes in this interactive event where we will explore the transformative impact of Virtual Twins and ML/AI in the semiconductor industry. Virtual Twins go beyond traditional digital replicas by simulating complex interactions and processes across the entire ecosystem—from design to testing and manufacturing.

These high-fidelity models allow engineers to predict failures, optimize designs, and simulate real-world behavior, helping reduce development time and avoid costly physical prototypes. This contributes to greater efficiency, scalability, and sustainability in the semiconductor value chain.

Ultimately, this approach bridges the gap between lab-scale innovation and full-scale fabrication, powering the next generation of advanced semiconductor devices and manufacturing equipment.