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Moonlake is partnering with Nvidia to bring its 3D Agent capabilities into NVIDIA Omniverse, enabling scalable creation of simulation-ready assets and digital twins for robotics, digital factories, and physical AI systems.
GM is leveraging AI and machine learning to collapse traditional engineering phases into a single probabilistic method, reducing simulation times from hours to minutes and accelerating vehicle development.
This paper proposes an active learning framework to couple high-fidelity Modelica simulations with simpler surrogate models (SINDyC, FNN, GRU) for creating efficient digital twins of thermal energy distribution systems. The approach significantly reduces the number of simulation trajectories needed while maintaining predictive accuracy and enabling uncertainty quantification.
NVIDIA and its partners are showcasing AI-driven manufacturing solutions, including sovereign AI infrastructure and digital twins, at Hannover Messe 2026.
NVIDIA GTC 2026 showcases major advances in physical AI with new frontier models (Cosmos 3, Isaac GR00T N1.7, Alpamayo 1.5) and infrastructure blueprints for scaling robots, vehicles, and factories. The event highlights how virtual worlds and digital twins are enabling enterprise-level physical AI deployments across industries.