simulation

Mistral has acquired Emmi AI and launched a physics AI capability that reduces computational fluid dynamics and finite element simulations from hours to seconds on a single GPU. The company is deploying the technology with ASML, Airbus, Safran, and Siemens Energy for design optimization, tooling, and real-time digital twins.

Mistral has acquired Emmi AI and launched physics AI models that predict structural, thermal, and fluid dynamics behavior in seconds on a single GPU, compared to hours-to-weeks for traditional solvers. The company is targeting aerospace, automotive, semiconductor, and energy sectors with partners including ASML, Airbus, Safran, and Siemens Energy.

Google DeepMind has integrated its Genie world model with Street View's 280 billion images spanning 110 countries, enabling users to explore AI-generated simulations of real locations. Waymo is already using Genie 3 to train self-driving cars on rare scenarios like tornadoes and unexpected obstacles.

Google DeepMind launched Street View integration with its Genie 3 world model at I/O 2026, allowing users to simulate real-world locations from 280 billion images across 110 countries. The feature enables environment modification including weather changes and supports robotics training, with initial access for U.S. Ultra subscribers expanding globally.

AI2 has released MolmoSpaces and MolmoBot, robotics models trained exclusively in simulation that transfer directly to real robots without manual real-world data collection or fine-tuning. The approach eliminates months of teleoperated demonstrations typically required for simulation-trained robots. Both systems are open-source.

AI2 is developing physical AI systems trained primarily on virtual simulation data rather than expensive real-world demonstrations. The approach, demonstrated through projects like MolmoBot, addresses the historical bottleneck of manually collecting hardware training data.

ABB and NVIDIA have partnered to deploy physical AI simulation in factory automation, addressing the critical sim-to-real gap that has limited intelligent robotics deployment. The approach uses digital physics simulation to train models that transfer reliably to actual factory floors, reducing production hurdles and securing measurable ROI.