Multimodal

Video Understanding: Qwen2-VL, An Expert Vision-language Model

Algorithms, Articles, Multimodal, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Qwen2-VL, an advanced vision language model built on Qwen2 [1], sets new benchmarks in image comprehension across varied resolutions and ratios, while also tackling extended video content. ‍Though Qwen2-V excels at many fronts, this article explores the model’s […]

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NVIDIA Announces Isaac GR00T N1 — the World’s First Open Humanoid Robot Foundation Model — and Simulation Frameworks to Speed Robot Development

Algorithms, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

Now Available, Fully Customizable Foundation Model Brings Generalized Skills and Reasoning to Humanoid Robots NVIDIA, Google DeepMind and Disney Research Collaborate to Develop Next-Generation Open-Source Newton Physics Engine New Omniverse Blueprint for Synthetic Data Generation and Open-Source Dataset Jumpstart Physical AI Data Flywheel March 18, 2025—GTC—NVIDIA today announced a portfolio of technologies to supercharge humanoid

NVIDIA Announces Isaac GR00T N1 — the World’s First Open Humanoid Robot Foundation Model — and Simulation Frameworks to Speed Robot Development Read More +

NVIDIA Announces Major Release of Cosmos World Foundation Models and Physical AI Data Tools

Algorithms, Automotive, Multimodal, News, NVIDIA, Processors, Robotics, Software, Tools /

New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AI Two New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training 1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters March 18, 2025—GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing

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NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development

Algorithms, Automotive, Multimodal, News, NVIDIA, Processors, Robotics, Software, Tools /

Expected to become the world’s largest such dataset, the initial release of standardized synthetic data is now available to robotics developers as open source. Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a massive,

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Build Real-time Multimodal XR Apps with NVIDIA AI Blueprint for Video Search and Summarization

Algorithms, Articles, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising

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Scalable Video Search: Cascading Foundation Models

Algorithms, Articles, Multimodal, Object Identification, Object Tracking, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Video has become the lingua franca of the digital age, but its ubiquity presents a unique challenge: how do we efficiently extract meaningful information from this ocean of visual data? ‍In Part 1 of this series, we navigate

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Building a Simple VLM-based Multimodal Information Retrieval System with NVIDIA NIM

Algorithms, Articles, Multimodal, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval

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Vision Language Model Prompt Engineering Guide for Image and Video Understanding

Algorithms, Blog Posts, Multimodal, NVIDIA, Object Identification, Object Tracking, Processors, Retail, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These

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SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 2)

Algorithms, Articles, Multimodal, Object Identification, Object Tracking, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our Segment Anything Model 2 (SAM 2) Series, we show how foundation models (e.g., GPT-4o, Claude Sonnet 3.5 and YOLO-World) can be used to generate visual inputs (e.g., bounding boxes) for SAM 2. Learn

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SAM 2 + GPT-4o: Cascading Foundation Models via Visual Prompting (Part 1)

Algorithms, Blog Posts, Multimodal, Object Identification, Object Tracking, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this article we introduce Segment Anything Model 2 (SAM 2). Then, we walk you through how you can set it up and run inference on your own video clips. Learn more about visual prompting

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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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