NVIDIA Research Special Address on AI-Graphics Convergence, Graphics 3.0, and Physical AI Advancement at SIGGRAPH 2025 - SIGGRAPH 2025特别演讲:AI与图形融合、图形3.0及物理AI进展

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by Jason & Jarvis
NVIDIA Research Special Address on AI-Graphics Convergence, Graphics 3.0, and Physical AI Advancement at SIGGRAPH 2025 - SIGGRAPH 2025特别演讲:AI与图形融合、图形3.0及物理AI进展
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NVIDIA Research Special Address Live at SIGGRAPH 2025

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Executive Summary

The core message of this SIGGRAPH 2025 special address is that NVIDIA is leading the industry into the "Graphics 3.0" era by deeply integrating AI with computer graphics technology, thereby accelerating the development and application of physical AI (especially robotics). Its key arguments include: AI playing an increasingly vital role in graphics rendering, achieving unprecedented detail and efficiency through neural shaders and neural materials; digital twins and virtual worlds being crucial for training physical AI; and NVIDIA's NUREC technology efficiently converting real-world data into high-fidelity simulation environments. Concurrently, the NVIDIA Cosmos World Foundation Model Platform effectively addresses the "chicken-and-egg problem" of scarce robotics training data through large-scale synthetic data generation, thus promoting the realization of general-purpose robots. This integration not only benefits graphics technology through AI but also revolutionizes AI through graphics, collectively building more realistic 3D worlds and laying the foundation for physical AI deployment.

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Key Logic

本次SIGGRAPH 2025特别演讲的核心信息在于,NVIDIA正通过深度融合AI与计算机图形技术,引领行业迈入“图形3.0”时代,并在此基础上加速物理AI(特别是机器人)的发展与应用。其核心论点包括:AI在图形渲染中扮演越来越重要的角色,通过神经着色器和神经材料实现前所未有的细节和效率;数字孪生和虚拟世界对于训练物理AI至关重要,而NVIDIANUREC技术能够高效地将真实世界数据转化为高保真模拟环境;同时,NVIDIA Cosmos World Foundation Model Platform通过大规模合成数据生成,有效解决了机器人训练数据稀缺的“鸡生蛋、蛋生鸡”问题,从而推动通用机器人的实现。这一融合不仅使图形技术受益于AI,也使AI反过来革新图形,共同构建更逼真的3D世界,为物理AI的部署奠定基础。

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by Jason & Jarvis

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