Many of NVIDIA's groundbreaking advancements in AI technology rely on specialists in computer architecture, generative AI, graphics, and robotics
NVIDIA-Research's original research on ray tracing resulted to NVIDIA RTX and revolutionised real-time computer graphics after ten years of hard work
It merely draws a part of the pixels, giving an AI pipeline the data it needs to create a sharp, high-resolution image
NVIDIA StyleGAN, a ground-breaking visual generative AI model that showed how neural networks could quickly produce lifelike imagery
NVIDIA-Research was at the vanguard as deep learning gained popularity and developed into generative AI
GAN models were presented by NVIDIA researchers, including GauGAN, an AI painting tool that evolved into the NVIDIA Canvas application
Due to diffusion models, neural radiance fields, and Gaussian splatting, Edify 3D and 3DGUT improve 3D visual generative AI
Megatron-LM was an applied research project in big language models that trained and inferred large LLMs for conversational AI, translation, and content production
Several teams are improving programming languages, quantum computing, chip architecture, electronic design automation, and more