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Advancing Generative AI, Robotics, and Rendering
NVIDIA investigations span a wide range of fields and often encompass more than one research area.
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Here, our teams share more than just their cutting-edge research. They highlight examples, provide additional resources, and even code.
The Intersection of AI, Art, and Science
In the AI Playground, you can play with the latest innovations from our research teams. Take a few minutes to explore the various demos that push the boundaries of technology.
A Collection of NVIDIA Research Papers
Our publications provide insight into some of our leading-edge research. Published regularly to world-renowned conferences and academic journals, we also host these papers here to provide easy access to all NVIDIA Research publications.
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NVIDIA researchers are known for developing game-changing research models. Startups, corporations, and researchers can request an NVIDIA Research proprietary software license and, if approved, use these models in their products, services, or internal workflows.
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NVIDIA presented around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.
This year in Atlanta, NVIDIA Research will be presenting their research findings in sim-to-real transfer, imitation learning, and language-guided tasks.
TIME awarded Neuralangelo as one of 2023’s best inventions. It’s an AI model for 3D reconstruction that uses neural networks to turn 2D video clips into detailed 3D structures.
NVIDIA Picasso is a generative AI foundry for visual design for building, customizing, and deploying foundation models with ease.
At NVIDIA, you’ll solve some of the world’s hardest problems and discover new ways to improve the quality of life for people everywhere. From healthcare to robots, self-driving cars to blockbuster movies—and a growing list of opportunities every single day—explore all of our open roles, including internships and new college graduate positions.
Check out a collection of resources that simplify programming tasks for AI researchers. These open-source resources are available to all and include NVIDIA Sionna, Kaolin, Kaolin Wisp, Imaginaire, and CUDA-X™.
NVIDIA AI Foundation Models offer an easy-to-use interface to quickly experience curated and optimized AI models directly from your browser. These AI models run on the NVIDIA accelerated computing stack, providing the best performance for experiencing NVIDIA AI.
See all the latest NVIDIA advances from GTC and other leading technology conferences—free and on demand.
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Sionna is a GPU-accelerated open-source library for physical-layer research and link-level simulations based on TensorFlow. It enables rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. Sionna ›
Kaolin is a PyTorch library that accelerates 3D deep learning research by providing efficient implementations of differentiable 3D modules. Importantly, a comprehensive model zoo comprising many state-of-the-art 3D deep learning architectures has been curated to serve as a starting point for future research endeavors. Kaolin ›
Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin to work with neural fields (including NeRFs, NGLOD, instant-ngp, and VQAD). Kaolin Wisp ›
Imaginaire is a PyTorch library that contains optimized implementations of several image and video synthesis methods developed at NVIDIA. Imaginaire ›
CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on GPUs. CUDA-X™ is a collection of libraries for AI and high-performance computing built on top of CUDA that lets developers dramatically speed up their applications with the power of GPUs. CUDA-X ›