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Accelerated Molecular Modeling with NVIDIA cuEquivariance and NVIDIA NIM microservices

cuEquivariance expands to accelerate next-gen protein structure modelsThe emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with…cuEquivariance expands to accelerate next-gen protein structure models

The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with unique computational challenges, including algorithmic complexity, memory efficiency, and strict accuracy requirements. To address this, NVIDIA collaborated with partners to provide accelerated solutions like faster equivariant operations and…

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Advancing Literature Review & Target Discovery With NVIDIA Biomedical AI-Q Research Agent Blueprint

Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign, researchers…

Biomedical research and drug discovery have long been constrained by labor-intensive processes. In order to kick-off a drug discovery campaign, researchers typically comb through numerous scientific papers for details about known protein targets and small molecule pairs. Reading—and deeply comprehending—a single paper takes one to six hours, while summarizing findings without AI assistance…

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Scale Realistic Robot Simulation Using the NVIDIA NeMo Agent Toolkit for Physical AI

Decorative image.Physical AI enables autonomous systems—think robots, self-driving cars, and smart spaces—to perceive, understand, and act intelligently in the real world….Decorative image.

Physical AI enables autonomous systems—think robots, self-driving cars, and smart spaces—to perceive, understand, and act intelligently in the real world. However, effectively training these complex systems takes immense and diverse datasets. Relying solely on real-world data collection is often costly, time-consuming, and limited by safety and practical constraints. To overcome this…

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Develop Custom Physical AI Foundation Models with NVIDIA Cosmos Predict-2

Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. These models serve two critical roles:…

Building smarter robots and autonomous vehicles (AVs) starts with physical AI models that understand real-world dynamics. These models serve two critical roles: accelerating synthetic data generation (SDG) to help autonomous machines learn about real-world physics and interactions—including rare edge cases—and serving as base models that can be post-trained for specialized tasks or adapted to…

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NVIDIA DRIVE Full-Stack Autonomous Vehicle Software Rolls Out

NVIDIA is launching a comprehensive, industry-defining autonomous vehicle (AV) software platform to accelerate large-scale deployment of safe, intelligent transportation innovations for automakers, truck manufacturers, robotaxi companies and startups worldwide. Announced today at NVIDIA GTC Paris at VivaTech, the full-stack NVIDIA DRIVE AV software platform is now in full production. Combined with NVIDIA accelerated compute, this
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NVIDIA Research Casts New Light on Scenes With AI-Powered Rendering for Physical AI Development

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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European Researchers Develop AI-Native Wireless Networks With NVIDIA 6G Research Portfolio

Using NVIDIA platforms, tools and libraries, European telecommunications institutions are accelerating efforts to develop 6G — the next generation of cellular technology, with AI woven in from the start. 6G will be an AI-native platform that fosters innovation, enables new services, enhances customer experiences and promotes sustainability. Since the launch of the NVIDIA 6G Developer
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NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR

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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European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets

In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris
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Retail Reboot: Major Global Brands Transform End-to-End Operations With NVIDIA

AI is packing and shipping efficiency for the retail and consumer packaged goods (CPG) industries, with a majority of surveyed companies in the space reporting the technology is increasing revenue and reducing operational costs. Global brands are reimagining every facet of their businesses with AI, from how products are designed and manufactured to how they’re
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