As the world shifts toward complex, intelligent systems—from software-defined vehicles and autonomous drones to next-generation data centers—engineering teams face an immense challenge: how do you build perfectly accurate digital twins of hardware operating in messy, real-world environments?
In this video, Dr. Prith Banerjee, Senior Vice President of Innovation at Synopsys, outlines the monumental technology partnership between Synopsys and JuliaHub. While data-driven analytics or pure physics simulations independently yield limited accuracy, combining them into a "hybrid digital twin" unlocks a staggering 98% to 99% accuracy rate.
Discover how Synopsys is integrating Dyad and its Scientific AI framework natively with Ansys TwinAI™, Saber, and Cosim simulation ecosystems. Learn how this cross-platform collaboration powers the entire systems engineering V-cycle—linking virtual ECUs and software-in-the-loop (SIL) testing directly to physics-informed plant models—while using Dyad’s Agentic AI capabilities to drastically compress manual model generation from weeks to minutes.
