At the American Meteorological Society’s Annual Meeting, NVIDIA today unveiled a new NVIDIA Earth-2 family of open models, libraries and frameworks for weather and climate AI, offering the world’s first fully open, production-ready weather AI software stack.
Researchers worldwide rely on open-source technologies as the foundation of their work. To equip the community with the latest advancements in digital and physical AI, NVIDIA is further expanding its collection of open AI models, datasets and tools — with potential applications in virtually every research field. At NeurIPS, one of the world’s top AI
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AI models are advancing at a rapid rate and scale. But what might they lack that (most) humans don’t? Common sense: an understanding, developed through real-world experiences, that birds can’t fly backwards, mirrors are reflective and ice melts into water. While such principles seem obvious to humans, they must be taught to AI models tasked
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AI and graphics research breakthroughs in neural rendering, 3D generation and world simulation power robotics, autonomous vehicles and content creation.
NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at
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NVIDIA Research has developed an AI light switch for videos that can turn daytime scenes into nightscapes, transform sunny afternoons to cloudy days and tone down harsh fluorescent lighting into soft, natural illumination. Called DiffusionRenderer, it’s a new technique for neural rendering — a process that uses AI to approximate how light behaves in the
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Advancing AI requires a full-stack approach, with a powerful foundation of computing infrastructure — including accelerated processors and networking technologies — connected to optimized compilers, algorithms and applications. NVIDIA Research is innovating across this spectrum, supporting virtually every industry in the process. At this week’s International Conference on Learning Representations (ICLR), taking place April 24-28
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The roots of many of NVIDIA’s landmark innovations — the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers — can be found in the company’s research organization, a global team of around 400 experts in fields including computer architecture, generative AI, graphics and robotics. Established in 2006 and
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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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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 next-generation robots and autonomous vehicles (AVs). World foundation models, or WFMs, are as fundamental as large
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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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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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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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