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To Save Lives, and Energy, Wellcome Sanger Institute Speeds Cancer Research With NVIDIA Accelerated Computing

The Wellcome Sanger Institute, a key contributor to the international Human Genome Project, is turning to NVIDIA accelerated computing to save energy while saving lives. With one of the world’s largest sequencing facilities, the U.K.-based institute has read more than 48 petabases — or 48 quadrillion base pairs — of DNA and RNA sequences to
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Advancing the Accuracy-Efficiency Frontier with Llama-3.1-Nemotron-51B

Today, NVIDIA released a unique language model that delivers an unmatched accuracy-efficiency performance. Llama 3.1-Nemotron-51B, derived from Meta’s…

Today, NVIDIA released a unique language model that delivers an unmatched accuracy-efficiency performance. Llama 3.1-Nemotron-51B, derived from Meta’s Llama-3.1-70B, uses a novel Neural Architecture Search (NAS) approach that results in a highly accurate and efficient model. The model fits on a single NVIDIA H100 GPU at high workloads, making it much more accessible and affordable.

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FineVideo: behind the scenes

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Exploring the Daily Papers Page on Hugging Face

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New AI-Powered 3D Printing Can Help Surgeons Rehearse Procedures

Researchers at Washington State University (WSU) unveiled a new AI-guided 3D printing technique that can help physicians print intricate replicas of human…

Researchers at Washington State University (WSU) unveiled a new AI-guided 3D printing technique that can help physicians print intricate replicas of human organs. Surgeons can then use these organ models to practice before performing the actual surgery, which gives doctors more tools to improve surgical results. The AI algorithm was trained on images and key attributes of human kidneys and…

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Optimize and deploy models with Optimum-Intel and OpenVINO GenAI

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Medical Centers Tap AI, Federated Learning for Better Cancer Detection

A committee of experts from top U.S. medical centers and research institutes is harnessing NVIDIA-powered federated learning to evaluate the impact of federated learning and AI-assisted annotation to train AI models for tumor segmentation. Federated learning is a technique for developing more accurate, generalizable AI models trained on data across diverse data sources without mitigating
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‘We’ve Fused Signal Processing and AI’: NVIDIA CEO Outlines Future of Telecom at T-Mobile’s Capital Markets Day

In a surprise appearance at T-Mobile’s Capital Markets Day, NVIDIA founder and CEO Jensen Huang shared a bold vision for the future of telecommunications. “We’ve fused signal processing and AI,” Huang declared during a fireside chat with T-Mobile CEO Mike Sievert, speaking to an audience of press, analysts and investors. “This is going to be
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Just Released: Torch-TensorRT v2.4.0

Includes C++ runtime support in Windows Support, Enhanced Dynamic Shape support in Converters, PyTorch 2.4, CUDA 12.4, TensorRT 10.1, Python 3.12.

Includes C++ runtime support in Windows Support, Enhanced Dynamic Shape support in Converters, PyTorch 2.4, CUDA 12.4, TensorRT 10.1, Python 3.12.

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Spotlight: SLB and NVIDIA Collaborate on Gen AI Solutions for Energy

Global energy technology company SLB has announced the next milestone in its long-standing collaboration with NVIDIA to develop and scale generative AI…

Global energy technology company SLB has announced the next milestone in its long-standing collaboration with NVIDIA to develop and scale generative AI solutions for the energy industry. The collaboration accelerates the development and deployment of energy industry-specific generative AI foundation models across SLB global platforms, including its Delfi digital platform and new Lumi data and…

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