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 […]
Using AI to Better Understand the Ocean Read More +
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
Rockets to Retail: Intel Core Ultra Delivers Edge AI for Video Management Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers deeper insight and access to the latest physical AI and robotics research breakthroughs across
With Over 30 Million Edge AI Systems-on-Chip Shipped, Ambarella is Driving Innovation for a Broad Range of On-Device and On-Premise Generative AI Applications SANTA CLARA, Calif., March 31, 2025 — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced during the ISC West security expo that it is continuing to push the envelope
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
Video Understanding: Qwen2-VL, An Expert Vision-language Model Read More +
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
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
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,
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
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
Scalable Video Search: Cascading Foundation Models Read More +
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