NVIDIA

R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly […]

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NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays.

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AI Helps Locate Dangerous Fishing Nets Lost at Sea

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or lost fishing nets—so-called ghost nets. Each year, around 2% of the

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AI Blueprint for Video Search and Summarization Now Available to Deploy Video Analytics AI Agents Across Industries

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for

AI Blueprint for Video Search and Summarization Now Available to Deploy Video Analytics AI Agents Across Industries Read More +

R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and

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NVIDIA Unveils NVLink Fusion for Industry to Build Semi-custom AI Infrastructure With NVIDIA Partner Ecosystem

MediaTek, Marvell, Alchip Technologies, Astera Labs, Synopsys and Cadence to Create Custom AI Silicon With NVIDIA NVLink Ecosystem Fujitsu and Qualcomm Each Plan to Build Custom CPUs Coupled With NVIDIA GPUs, NVLink Scale-Up and Spectrum-X Scale-Out Technologies May 18, 2025—COMPUTEX—NVIDIA today unveiled NVIDIA NVLink Fusion™ — new silicon that lets industries build semi-custom AI infrastructure with the vast ecosystem

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NVIDIA Launches AI-first DGX Personal Computing Systems With Global Computer Makers

Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo and MSI Build NVIDIA DGX Spark, DGX Station Personal Systems for AI Developers, Researchers and Data Scientists May 18, 2025—COMPUTEX—NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems. Growing partnerships with Acer, GIGABYTE and MSI will extend the

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NVIDIA Powers Humanoid Robot Industry With Cloud-to-robot Computing Platforms for Physical AI

New NVIDIA Isaac GR00T Humanoid Open Models Soon Available for Download on Hugging Face GR00T-Dreams Blueprint Generates Data to Train Humanoid Robot Reasoning and Behavior NVIDIA RTX PRO 6000 Blackwell Workstations and RTX PRO Servers Accelerate Robot Simulation and Training Agility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics and XPENG Robotics Among Many Robot Makers Adopting NVIDIA Isaac COMPUTEX—NVIDIA today announced VIDIA

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LM Studio Accelerates LLM Performance With NVIDIA GeForce RTX GPUs and CUDA 12.8

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Latest release of the desktop application brings enhanced dev tools and model controls, as well as better performance for RTX GPUs. As AI use cases continue to expand — from document summarization to custom software agents —

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Optimizing Transformer-based Diffusion Models for Video Generation with NVIDIA TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. State-of-the-art image diffusion models take tens of seconds to process a single image. This makes video diffusion even more challenging, requiring significant computational resources and high costs. By leveraging the latest FP8 quantization features on NVIDIA Hopper GPUs

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