At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI

PT, will feature NVIDIA AI research and engineering leaders Neil Ashton, Edward Liu and Ming-Yu Liu discussing neural rendering techniques, world models and simulation methods for AI, built by AI. These technologies - which are changing the way digital worlds are created and used across every domain - can be applied to creative tools, industrial design, robotics and autonomous systems. "Creators and designers need tools powerful enough to expand their imagination, malleable enough to give them the freedom to shape ideas and precise enough to realize their vision exactly as intended," said NVIDIA founder and CEO Jensen Huang in an introductory video.

"Whether for games, cinema, robotics or factory digital twins, the goal is the same: to create virtual worlds that behave with the fidelity and realism of the physical world. " Edward Liu, director of applied deep learning research at NVIDIA, kicked off the presentation by showcasing 3D-guided neural rendering. He shared how NVIDIA's latest advancements in neural rendering address three key research challenges: preserving artistic intent, ensuring output is temporally stable across frames and rendering 4K content in real time.

"Control in artistic direction is a really exciting research direction for us," said Edward Liu. "Simulation defines the world, generation enriches its appearance and artists direct the outcome... AI extending graphics the same way programmable shaders and ray tracing have extended graphics before.

" Neil Ashton, distinguished engineer at NVIDIA, covered innovation in AI physics with applications in weather forecasting, automotive aerodynamics, thermal design and more. In climate and weather research, the NVIDIA Earth-2 family of open models is enabling scientists to boost their simulation resolutions to new levels with AI models trained on simulation data - while achieving accuracy equal or greater to traditional approaches. "The challenge that we have is to translate the success of using these AI models in weather and climate into the world that we live in, to be able to design the planes and cars and data centers of the future," Ashton said.

"One of the things that NVIDIA is really focused on is helping to achieve that vision. " Ashton shared how the latest model architectures developed by NVIDIA Research and its partners compress model checkpoints down to a couple hundred megabytes, a million-times compression that enables physically accurate visualizations within a second. Ming-Yu Liu, vice president of Cosmos Lab at NVIDIA, shared the latest advancements in world models available through NVIDIA Cosmos , a world foundation model platform for accelerating the development of physical AI systems.