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

At this year’s SIGGRAPH conference, running through Thursday, July 23, in Los Angeles, attendees can discover how leading graphics research, neural rendering, simulation and AI are transforming how worlds are created and understood by people and machines.

The NVIDIA keynote, taking place today, July 20, at 3:45 p.m. 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.

Read on for the latest from the SIGGRAPH conference, with NVIDIA and partners showcasing:NVIDIA keynote recapModel Context Protocol connections bring agentic AI to content creationNew Synthetic Video Detector NIM microserviceCosmos 3 Edge open world model for local physical AINVIDIA NemoClaw on DGX Station with NVIDIA Agent ToolkitResearch breakthroughs for virtual worlds and physical AI

In SIGGRAPH Keynote, NVIDIA Leaders Outline Next Era of Graphics and Physical AI

Ming-Yu Liu, vice president of Cosmos Lab at NVIDIA, presents at SIGGRAPH 2026.

NVIDIA AI research and engineering leaders took the stage at SIGGRAPH today to share the latest advances in neural rendering, world models and simulation. 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 neu…