"By training Noise2Noise with only noise, researchers hope the method can be used on images known to contain high amounts of noise, such as astrophotography" Read More >
Engadget: Fixing Bad Photos with Deep Learning
"One of the most exciting things about the system is that it can significantly re"duce the amount of time required for image rendering – we're talking milliseconds." Read More >
To better prepare communities for extreme weather, forecasters first need to see exactly where it’ll land. That’s why weather agencies and climate scientists around the world are harnessing NVIDIA CorrDiff, a generative AI weather model that enables kilometer-scale forecasts of wind, temperature, and precipitation type and amount. It’s part of the NVIDIA Earth-2 platform for
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Editor’s note: This post was updated on Friday, Jan. 10, with Best of CES Awards results. NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models — neural networks that can predict and generate physics-aware videos of the future state of a virtual environment — to help developers build
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The pace of technology innovation has accelerated in the past year, most dramatically in AI. And in 2024, there was no better place to be a part of creating those breakthroughs than NVIDIA Research. NVIDIA Research is comprised of hundreds of extremely bright people pushing the frontiers of knowledge, not just in AI, but across
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Shoppers pondering a new hairstyle can now try styles before committing to curls or a new color. An AI app by Ulta Beauty, the largest specialty beauty retailer in the U.S., uses selfies to show near-instant, highly realistic previews of desired hairstyles. GLAMlab Hair Try On is a digital experience that lets users take a
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Content streaming and engagement are entering a new dimension with QUEEN, an AI model by NVIDIA Research and the University of Maryland that makes it possible to stream free-viewpoint video, which lets viewers experience a 3D scene from any angle. QUEEN could be used to build immersive streaming applications that teach skills like cooking, put
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Robots are moving goods in warehouses, packaging foods and helping assemble vehicles — bringing enhanced automation to use cases across industries. There are two keys to their success: Physical AI and robotics simulation. Physical AI describes AI models that can understand and interact with the physical world. Physical AI embodies the next wave of autonomous
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Diabetics — or others monitoring their sugar intake — may look at a cookie and wonder, “How will eating this affect my glucose levels?” A generative AI model can now predict the answer. Researchers from the Weizmann Institute of Science, Tel Aviv-based startup Pheno.AI and NVIDIA led the development of GluFormer, an AI model that
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At the European Conference on Computer Vision (ECCV) running this week in Milan, the NVIDIA Research team is demonstrating groundbreaking innovations with 14 accepted publications. The topics presented range from embodied AI and foundation models to retrieval-augmented generation and neural radiance fields. The majority of the presented work is focused on automotive research, including: RealGen:
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A deep technology conference for processor and system architects from industry and academia has become a key forum for the trillion-dollar data center computing market. At Hot Chips 2024 next week, senior NVIDIA engineers will present the latest advancements powering the NVIDIA Blackwell platform, plus research on liquid cooling for data centers and AI agents
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As hurricanes, tornadoes and other extreme weather events occur with increased frequency and severity, it’s more important than ever to improve and accelerate climate research and prediction using the latest technologies. Amid peaks in the current Atlantic hurricane season, NVIDIA Research today announced a new generative AI model, dubbed StormCast, for emulating high-fidelity atmospheric dynamics.
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NVIDIA is taking an array of advancements in rendering, simulation and generative AI to SIGGRAPH 2024, the premier computer graphics conference, which will take place July 28 – Aug. 1 in Denver. More than 20 papers from NVIDIA Research introduce innovations advancing synthetic data generators and inverse rendering tools that can help train next-generation models.
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NVIDIA researchers are at the forefront of the rapidly advancing field of visual generative AI, developing new techniques to create and interpret images, videos and 3D environments. More than 50 of these projects will be showcased at the Computer Vision and Pattern Recognition (CVPR) conference, taking place June 17-21 in Seattle. Two of the papers
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Making moves to accelerate self-driving car development, NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, running this week in Seattle. Building on last year’s win in 3D Occupancy Prediction, NVIDIA Research topped the leaderboard this year in the End-to-End Driving at Scale category with its
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NVIDIA contributed the largest ever indoor synthetic dataset to the Computer Vision and Pattern Recognition (CVPR) conference’s annual AI City Challenge — helping researchers and developers advance the development of solutions for smart cities and industrial automation. The challenge, garnering over 700 teams from nearly 50 countries, tasks participants to develop AI models to enhance
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A collaboration between NVIDIA and academic researchers is prepping robots for surgery. ORBIT-Surgical — developed by researchers from the University of Toronto, UC Berkeley, ETH Zurich, Georgia Tech and NVIDIA — is a simulation framework to train robots that could augment the skills of surgical teams while reducing surgeons’ cognitive load. It supports more than
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NVIDIA researchers have pumped a double shot of acceleration into their latest text-to-3D generative AI model, dubbed LATTE3D. Like a virtual 3D printer, LATTE3D turns text prompts into 3D representations of objects and animals within a second. Crafted in a popular format used for standard rendering applications, the generated shapes can be easily served up
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A widely acclaimed large language model for genomic data has demonstrated its ability to generate gene sequences that closely resemble real-world variants of SARS-CoV-2, the virus behind COVID-19. Called GenSLMs, the model, which last year won the Gordon Bell special prize for high performance computing-based COVID-19 research, was trained on a dataset of nucleotide sequences
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A research paper released today describes ways generative AI can assist one of the most complex engineering efforts: designing semiconductors. The work demonstrates how companies in highly specialized fields can train large language models (LLMs) on their internal data to build assistants that increase productivity. Few pursuits are as challenging as semiconductor design. Under a
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