Category: Misc

Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of…

Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of diverse training data can be difficult, time-consuming, and expensive. Data is often limited due to privacy restrictions or concerns, or simply may not exist for novel use cases. In addition, the available data may not apply to the full range…

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Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to…

Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to apply learned skills in new situations. This is often due to the gap between perception and action, as well as the challenges in transferring skills across different contexts. NVIDIA Isaac Lab is an open-source modular framework for…

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The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM…

The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM endpoints and application development frameworks. NVIDIA NIM enables developers and engineering teams to rapidly deploy their own AI model endpoints for the secure development of accelerated generative AI applications using popular development…

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Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and…

Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation models, you can now build applications with fewer models that have broad perception and rich contextual understanding.

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NVIDIA collaborated with Mistral to co-build the next-generation language model that achieves leading performance across benchmarks in its class. With a growing…

NVIDIA collaborated with Mistral to co-build the next-generation language model that achieves leading performance across benchmarks in its class. With a growing number of language models purpose-built for select tasks, NVIDIA Research and Mistral AI combined forces to offer a versatile, open language model that’s performant and runs on a single GPU. This post explores the benefits of…

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Over 300M computed tomography (CT) scans are performed globally, 85M in the US alone. Radiologists are looking for ways to speed up their workflow and generate…

Over 300M computed tomography (CT) scans are performed globally, 85M in the US alone. Radiologists are looking for ways to speed up their workflow and generate accurate reports, so having a foundation model to segment all organs and diseases would be helpful. Ideally, you’d have an optimized way to run this model in production at scale. NVIDIA Research has created a new foundation model to…

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Engineering simulation is used across industries to accelerate product development. Simulations are used to check the safety of aircraft, cars, and buildings,…

Engineering simulation is used across industries to accelerate product development. Simulations are used to check the safety of aircraft, cars, and buildings, ensure that your mobile phone has a signal wherever you go, and maximize the range of the newest electric vehicles. It reduces the need for expensive, time-consuming physical testing and enables engineers to iteratively improve designs much…

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Recent advancements in generative AI and multi-view reconstruction have introduced new ways to rapidly generate 3D content. However, to be useful for downstream…

Recent advancements in generative AI and multi-view reconstruction have introduced new ways to rapidly generate 3D content. However, to be useful for downstream applications like robotics, design, AR/VR, and games, it must be possible to manipulate these 3D models in a physically plausible way. This poses a major challenge to traditional physics simulation algorithms, which were designed to…

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