Artificial intelligence and digital twins are often discussed as separate technologies, but their future success may depend on how effectively they work together. In this thought leadership presentation at Future Digital Twin & AI USA 2026, Vitor Lopes Pereira of Synopsys explores the growing relationship between AI and digital twins, examining how each technology can strengthen and accelerate the other.
Drawing on Synopsys‘ experience in simulation, engineering and digital twin development, the presentation highlights the role of physics-based modelling and hybrid digital twins in improving explainability, reducing uncertainty and helping organisations build greater trust in AI-driven insights. Vitor also discusses how AI is being used to simplify complex engineering workflows and support the wider adoption of digital twin technologies across the asset lifecycle.
The session goes on to explore the growing demands being placed on digital infrastructure by the rapid expansion of AI. Using examples from data centres and energy systems, Vitor demonstrates how digital twins are helping organisations better understand, optimise and manage increasingly complex environments where power, cooling and operational performance are becoming critical challenges.
Watch the full presentation to learn how Synopsys is approaching the convergence of AI and digital twins, and why combining simulation, engineering knowledge and intelligent automation could play an important role in the next generation of industrial innovation.
Speakers
- Vitor Lopes Pereira , Regional Sales Manager, Systems & Digital Twin Solutions, Synopsys
