From humanoids to policy, explore the work NVIDIA is bringing to the robotics community.
]]>NVIDIA will present 19 research papers at SIGGRAPH, the year’s most important computer graphics conference.
]]>TIME Magazine named NVIDIA Instant NeRF, a technology capable of transforming 2D images into 3D scenes, one of the Best Inventions of 2022. “Before NVIDIA Instant NeRF, creating 3D scenes required specialized equipment, expertise, and lots of time and money. Now it just takes a few photos and a few minutes,” TIME writes in their release. The 3D rendering tool was introduced at SIGGRAPH…
]]>Research on neural fields has been an increasingly hot topic in computer graphics and computer vision in recent years. Neural fields can represent 3D data like shape, appearance, motion, and other physical quantities by using a neural network that takes coordinates as input and outputs the corresponding data at that location. These representations have been proven to be useful in various…
]]>Using video games as a medium for training AI has become a popular method within the AI research community. These autonomous agents have had great success in Atari games, Starcraft, Dota, and Go. But while these advancements have been popular for AI research, the agents do not generalize beyond a very specific set of tasks, unlike humans that continuously learn from open-ended tasks.
]]>Instance segmentation is a core visual recognition problem for detecting and segmenting objects. In the past several years, this area has been one of the holy grails in the computer vision community with wide applications ranging from autonomous vehicles (AV), robotics, video analysis, smart home, digital human, and healthcare. Annotation, the process of classifying every object in an image…
]]>Even while 5G wireless networks are being installed and used worldwide, researchers in academia and industry have already started defining visions and critical technologies for 6G. Although nobody knows what 6G will be, a recurring vision is that 6G must enable the creation of digital twins and distributed machine learning (ML) applications at an unprecedented scale. 6G research requires new tools.
]]>The following post provides a deep dive into some of the accomplishments and current focus of drug discovery and genomics work by NVIDIA. A leader in innovations within healthcare and life sciences, NVIDIA is looking to add AI, deep learning, simulation, and drug discovery researchers and engineers to the team. If what you read aligns with your career goals please review the current job postings.
]]>The desire to edit photos of cats, cars, or even antique paintings, has never been more accessible thanks to a generative adversarial network (GAN) model called EditGAN. The work—from NVIDIA, the University of Toronto, and MIT researchers—builds off DatasetGAN, an artificial intelligence vision model that can be trained with as few as 16 human-annotated images and performs as effectively as other…
]]>Scientists at NVIDIA and Cornell University introduced a hybrid unsupervised neural rendering pipeline to represent large and complex scenes efficiently in voxel worlds. Essentially, a 3D artist only needs to build the bare minimum, and the algorithm will do the rest to build a photorealistic world. The researchers applied this hybrid neural rendering pipeline to Minecraft block worlds to generate…
]]>Researchers from NVIDIA, the University of Toronto, and the Vector Institute have proposed a new motion capture method foregoing the use of expensive motion-capture hardware. It uses only video input to improve past motion-capture animation models. YouTuber and graphics researcher Dr. Károly Zsolnai-Fehér breaks down the research on this innovative technology in his YouTube series: Two…
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