SIGGRAPH 2026 Announces Sponsored Keynote Presentations Showcasing the Future of Graphics, AI, and Simulation

About this update from Nvidia Corporation

Breakthroughs in Neural Rendering, GPU Innovation, and Generative AI Take Center Stage With Speakers From NVIDIA, Bolt Graphics, and Tripo AI. LOS ANGELES, July 6, 2026 /PRNewswire/ -- SIGGRAPH 2026, the world's premier conference on computer graphics and interactive techniques, is proud to announce its lineup of sponsored keynote presentations, highlighting pioneering advancements in computer graphics, artificial intelligence, neural rendering, and next-generation hardware. Industry leaders from NVIDIA, Bolt Graphics, and Tripo AI will take the stage to share breakthrough innovations that are reshaping how digital worlds are created, simulated, and experienced. Taking place during the 53rd annual conference, 19–23 July in Los Angeles, these sponsored keynote sessions will explore transformative technologies across research, production, and infrastructure — offering attendees a front-row seat to the future of digital environments and interactive media. "SIGGRAPH continues to be the premier stage for unveiling the ideas and technologies that define the future of computer graphics and interactive techniques," said Chris Redmann, SIGGRAPH 2026 Conference Chair. "This year's sponsored keynotes reflect not only the rapid evolution of AI-driven content creation, but also the deep collaboration between industry and research that drives innovation forward." This year's sponsored keynote presentations include: NVIDIA | Next Era of Graphics — Neural Rendering, World Models, and Simulation Presented by: Neil Ashton, Ming-Yu Liu, and Edward LiuMonday, 20 July 2026 | 3:45 pm PDT Neil Ashton, Ming-Yu Liu, and Edward Liu of NVIDIA Research and Engineering will explore the latest breakthroughs shaping computer graphics and simulation. Their keynote highlights advances in neural rendering, world models, and AI-driven simulation, demonstrating how these technologies are transforming the creation and use of digital environments across industries — from creative tools and industrial design to robotics and autonomous systems. Neil Ashton, a distinguished engineer at NVIDIA, focuses on AI physics and agentic AI for computational engineering. Ming-Yu Liu, an IEEE fellow and leader of the NVIDIA Cosmos Lab, advances world foundation models and generative AI technologies for physical AI. Edward Liu, director of applied deep learning research, leads innovations in AI-powered real-...

View stock analysis, news, and events for Nvidia Corporation