SANTA CLARA, Calif., June 11, 2025 (GLOBE NEWSWIRE) — NVIDIA today announced it will hold its 2025 Annual Meeting of Stockholders online on Wednesday, June 25, at 9 a.m. PT. The meeting will …
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…
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…
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…
Physical AI enables autonomous systems—think robots, self-driving cars, and smart spaces—to perceive, understand, and act intelligently in the real world….
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…
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…
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 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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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 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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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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