This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Data goes far beyond text—it is inherently multimodal, encompassing images, video, audio, and more, often in complex and unstructured formats. While the common method is to convert PDFs, scanned images, slides, and other documents into text, it […]
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without
Introducing NVFP4 for Efficient and Accurate Low-precision Inference Read More +
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with
Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO Read More +
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
R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research Read More +
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.
NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing Read More +
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
AI Helps Locate Dangerous Fishing Nets Lost at Sea Read More +
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
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
R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research Read More +
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
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
NVIDIA Launches AI-first DGX Personal Computing Systems With Global Computer Makers Read More +
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