Category: Misc

Today, tweaking your PC to suit your workflows often involves digging through menus and settings across multiple control panels. Project G-Assist is an…

Today, tweaking your PC to suit your workflows often involves digging through menus and settings across multiple control panels. Project G-Assist is an experimental on-device AI assistant designed to help users control their RTX GPU and other PC settings using a natural language interface. G-Assist can execute common NVIDIA App commands, optimize performance, monitor performance statistics…

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Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation,…

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 focus on integrating 3D scene understanding, generalizable object tracking, and persistent spatial memory—using robust…

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Live media workflows are increasingly using AI microservices to augment production capabilities. However, advanced AI models are mostly hosted in the cloud,…

Live media workflows are increasingly using AI microservices to augment production capabilities. However, advanced AI models are mostly hosted in the cloud, making it challenging to process high-bitrate, uncompressed media streams due to constraints around network latency, bandwidth, and real-time scalability. NVIDIA released new AI reference applications that facilitate the ease of AI…

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As a global labor shortage leaves 50 million positions unfilled across industries like manufacturing and logistics, Hexagon — a global leader in measurement technologies — is developing humanoid robots that can lend a helping hand. Industrial sectors depend on skilled workers to perform a variety of error-prone tasks, including operating high-precision scanners for reality capture
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NVIDIA today released developer previews of NVIDIA Isaac Sim and NVIDIA Isaac Lab — reference robotics simulation and learning frameworks. Now available on…

NVIDIA today released developer previews of NVIDIA Isaac Sim and NVIDIA Isaac Lab — reference robotics simulation and learning frameworks. Now available on GitHub, these releases offer early access to cutting edge capabilities for building, training, and testing AI-powered robots in physics-based simulation environments. Isaac Sim is a reference application built on NVIDIA…

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Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training…

Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training data for skills like assembly and inspection, and manual demonstrations aren’t scalable. The NVIDIA Isaac GR00T-Dreams blueprint, built on NVIDIA Cosmos, solves this challenge by generating massive synthetic trajectory data from just a single…

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A team of Stanford University researchers has developed an LLM system to cut through bureaucratic red tape. The LLM—dubbed the System for Statutory Research,…

A team of Stanford University researchers has developed an LLM system to cut through bureaucratic red tape. The LLM—dubbed the System for Statutory Research, or STARA—can help policymakers quickly and cheaply parse voluminous collections of rules to identify laws that are redundant, outdated, or overly onerous. Ultimately, it can make governments more efficient, the researchers say.

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Transform your PDFs into personalized audio using NVIDIA RTX PRO and the PDF to Podcast AI Blueprint.

Transform your PDFs into personalized audio using NVIDIA RTX PRO and the PDF to Podcast AI Blueprint.

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Best-in-class LLM Inference requires two key elements: speed and developer velocity. Speed refers to maximizing the efficiency of the underlying hardware by…

Best-in-class LLM Inference requires two key elements: speed and developer velocity. Speed refers to maximizing the efficiency of the underlying hardware by using highly optimized compute kernels algorithms. Developer velocity refers to the ability to quickly adopt these new kernels and accelerate new models, algorithms, and hardware. Ultimately, this velocity is underpinned by the quick…

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