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High-Speed AI: Hitachi Rail Advances Real-Time Railway Analysis Using NVIDIA Technology

Hitachi Rail, a global transportation company powering railway systems in over 50 countries, is integrating NVIDIA AI technology to lower maintenance costs for rail operators, reduce train idling time and improve transit reliability for passengers. The company is adopting NVIDIA IGX — an industrial-grade, enterprise-level platform that delivers high-bandwidth sensor processing, powerful AI compute, functional
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Using Generative AI to Enable Robots to Reason and Act with ReMEmbR

Photo of robot moving down a path.Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by…Photo of robot moving down a path.

Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by projecting text and images into the same embedding space. They can take unstructured multimodal data, reason over it, and return the output in a structured format. Building on a broad base of pretraining, they can be easily adapted for…

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NVIDIA Partners for Globally Inclusive AI in U.S. Government Initiative

NVIDIA is joining the U.S. government’s launch of the Partnership for Global Inclusivity on AI (PGIAI), providing Deep Learning Institute training, GPU credits and hardware and software grants in developing countries. The partnership was announced today in New York at the U.N. General Assembly by U.S. Secretary of State Antony Blinken. The effort aims to
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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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