Multimodal

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 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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Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Our method, Trimmed-Llama, reduces the key-value cache (KV cache) and latency of cross-attention-based Large Vision Language Models (LVLMs) without sacrificing performance. We identify sparsity in LVLM cross-attention maps, showing a consistent layer-wise pattern where most

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Deploying an Efficient Vision-Language Model on Mobile Devices

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Recent large language models (LLMs) have demonstrated unprecedented performance in a variety of natural language processing (NLP) tasks. Thanks to their versatile language processing capabilities, it has become possible to develop various NLP applications that

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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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Advancing Generative AI at the Edge During CES 2025

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. For this year’s CES, our theme was Your GenAI Edge—highlighting how Ambarella’s AI SoCs continue to redefine what’s possible with generative AI at the edge. Building on last year’s edge GenAI demos, we debuted a new 25-stream,

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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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R²D²: Adapting Dexterous Robots with NVIDIA Research Workflows and Models

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robotic arms are used today for assembly, packaging, inspection, and many more applications. However, they are still preprogrammed to perform specific and often repetitive tasks. To meet the increasing need for adaptability in most environments, perceptive arms

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Using AI to Better Understand the Ocean

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Humans know more about deep space than we know about Earth’s deepest oceans. But scientists have plans to change that—with the help of AI. “We have better maps of Mars than we do of our own exclusive

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Rockets to Retail: Intel Core Ultra Delivers Edge AI for Video Management

At Intel Vision, Network Optix debuts natural language prompt prototype to redefine video management, offering industries faster AI-driven insights and efficiency. On the surface, aerospace manufacturers, shopping malls, universities, police departments and automakers might not have a lot in common. But they each collectively use and manage hundreds to thousands of video cameras across their

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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