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AI Tool Helps Farmers Combat Crop Loss and Climate Change

An image of a person working in a greenhouse.Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is...An image of a person working in a greenhouse.

Machine Learning algorithms are beginning to revolutionize modern agriculture. Enabling farmers to combat pests and diseases in real time, the technology is improving crop production and profits, while reducing waste, greenhouse gas emissions, and pesticide use. Around 6% of the world’s CO2 emissions come from farming. And every year, up to 40% of crops are lost due to pests and disease.

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NVIDIA Blackwell Platform Sets New LLM Inference Records in MLPerf Inference v4.1

Large language model (LLM) inference is a full-stack challenge. Powerful GPUs, high-bandwidth GPU-to-GPU interconnects, efficient acceleration libraries, and a...

Large language model (LLM) inference is a full-stack challenge. Powerful GPUs, high-bandwidth GPU-to-GPU interconnects, efficient acceleration libraries, and a highly optimized inference engine are required for high-throughput, low-latency inference. MLPerf Inference v4.1 is the latest version of the popular and widely recognized MLPerf Inference benchmarks, developed by the MLCommons…

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Real-Time AI Model Aims to Help Protect the Great Barrier Reef

Marine biologists have a new AI tool for monitoring and protecting coral reefs. The project—a collaboration between Google and Australia’s Commonwealth...

Marine biologists have a new AI tool for monitoring and protecting coral reefs. The project—a collaboration between Google and Australia’s Commonwealth Scientific and Industrial Research Organization (CSIRO)—employs computer vision detection models to pinpoint damaging outbreaks of crown-of-thorns starfish (COTS) through a live camera feed. Keeping a closer eye on reefs helps scientists address…

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Develop Generative AI-Powered Visual AI Agents for the Edge

An illustration representing an AI model.An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to...An illustration representing an AI model.

An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and adaptable. These models can run on the NVIDIA Jetson Orin edge AI platform or discrete GPUs through NIMs. This blog post explores how to build…

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Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0

Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS...

Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Importantly, these systems need to process information at the edge for reliable bandwidth, privacy, real-time analytics, and more. This post explains how to use the new Jetson Platform Services from…

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Closing the Sim-to-Real Gap: Training Spot Quadruped Locomotion with NVIDIA Isaac Lab

Developing effective locomotion policies for quadrupeds poses significant challenges in robotics due to the complex dynamics involved. Training quadrupeds to...

Developing effective locomotion policies for quadrupeds poses significant challenges in robotics due to the complex dynamics involved. Training quadrupeds to walk up and down stairs in the real world can damage the equipment and environment. Therefore, simulators play a key role in both safety and time constraints in the learning process. Leveraging deep reinforcement learning (RL) for…

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Power Cloud-Native Microservices at the Edge with NVIDIA JetPack 6.0, Now GA

NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the...

NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the Jetson platform’s flexibility and scalability with microservices and a host of new features. It’s the most downloaded version of JetPack in 2024. With the JetPack 6.0 production release now generally available…

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Create, Design, and Deploy Robotics Applications Using New NVIDIA Isaac Foundation Models and Workflows

A GIF showing a robotic arm maneuvering items.The application of robotics is rapidly expanding in diverse environments such as smart manufacturing facilities, commercial kitchens, hospitals, warehouse...A GIF showing a robotic arm maneuvering items.

The application of robotics is rapidly expanding in diverse environments such as smart manufacturing facilities, commercial kitchens, hospitals, warehouse logistics, and agricultural fields. The industry is shifting towards intelligent automation, which requires enhanced robot capabilities to perform functions including perception, mapping, navigation, load handling, object grasping…

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NVIDIA Presents New Robotics Research on Geometric Fabrics, Surgical Robots, and More at ICRA

Still from geometric fabrics example demo.During the IEEE International Conference on Robotics and Automation (ICRA) May 13-17 in Yokohama, Japan, many people will be discussing geometric fabrics. That...Still from geometric fabrics example demo.

During the IEEE International Conference on Robotics and Automation (ICRA) May 13-17 in Yokohama, Japan, many people will be discussing geometric fabrics. That topic is the subject of one of seven papers submitted by members of the NVIDIA Robotics Research Lab, along with collaborators, and featured at ICRA this week. In robotics, trained policies are approximate by nature.

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Visual Language Intelligence and Edge AI 2.0

Decorative image of VILA and Jetson Orin workflow.VILA is a family of high-performance vision language models developed by NVIDIA Research and MIT. The largest model comes with ~40B parameters and the smallest...Decorative image of VILA and Jetson Orin workflow.

VILA is a family of high-performance vision language models developed by NVIDIA Research and MIT. The largest model comes with ~40B parameters and the smallest model comes with ~3B parameters. It is fully open source (including model checkpoints and even training code and training data). In this post, we describe how VILA performs against other models to deliver edge AI 2.0.

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Visual Language Models on NVIDIA Hardware with VILA

Decorative image.Visual language models have evolved significantly recently. However, the existing technology typically only supports one single image. They cannot reason among...Decorative image.

Visual language models have evolved significantly recently. However, the existing technology typically only supports one single image. They cannot reason among multiple images, support in context learning or understand videos. Also, they don’t optimize for inference speed. We developed VILA, a visual language model with a holistic pretraining, instruction tuning, and deployment pipeline that…

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Make the Most of NVIDIA GTC 2024 with In-Person, Hands-On Learning

We are so excited to be back in person at GTC this year at the San Jose Convention Center. With thousands of developers, industry leaders, researchers, and...

We are so excited to be back in person at GTC this year at the San Jose Convention Center. With thousands of developers, industry leaders, researchers, and partners in attendance, attending GTC in person gives you the unique opportunity to network with legends in technology and AI, and experience NVIDIA CEO Jensen Huang’s keynote live on-stage at the SAP Center. Past GTC alumni? Get 40%

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Detecting Real-Time Waste Contamination Using Edge Computing and Video Analytics

The past few decades have witnessed a surge in rates of waste generation, closely linked to economic development and urbanization. This escalation in waste...

The past few decades have witnessed a surge in rates of waste generation, closely linked to economic development and urbanization. This escalation in waste production poses substantial challenges for governments worldwide in terms of efficient processing and management. Despite the implementation of waste classification systems in developed countries, a significant portion of waste still ends up…

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Announcing NVIDIA Metropolis Microservices for Jetson for Rapid Edge AI Development

NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. Building vision AI...

NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. Building vision AI applications for the edge often comes with notoriously long and costly development cycles. At the same time, quickly developing edge AI applications that are cloud-native, flexible, and secure has never been more important. Now…

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Bringing Generative AI to the Edge with NVIDIA Metropolis Microservices for Jetson

GIF of factory floor with people, pallets, and equipment in bounding boxes.NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. NVIDIA Metropolis...GIF of factory floor with people, pallets, and equipment in bounding boxes.

NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. NVIDIA Metropolis Microservices for Jetson provides a suite of easy-to-deploy services that enable you to quickly build production-quality vision AI applications while using the latest AI approaches. This post explains how to develop and deploy generative AI…

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Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs

NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. NVIDIA Metropolis...

NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. NVIDIA Metropolis microservices provide powerful, customizable, cloud-native APIs and microservices to develop vision AI applications and solutions. The framework now includes NVIDIA Jetson, enabling developers to quickly build and productize performant and…

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Generate Synthetic Data for Deep Object Pose Estimation Training with NVIDIA Isaac ROS

An image of the inside of an industrial manufacturing building.For robotic agents to interact with objects in their environment, they must know the position and orientation of objects around them. This information describes...An image of the inside of an industrial manufacturing building.

For robotic agents to interact with objects in their environment, they must know the position and orientation of objects around them. This information describes the six degrees of freedom (DOF) pose of a rigid body in 3D space, detailing the translational and rotational state. Accurate pose estimation is necessary to determine how to orient a robotic arm to grasp or place objects in a…

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Most Popular NVIDIA Technical Blog Posts of 2023: Generative AI, LLMs, Robotics, and Virtual Worlds Breakthroughs

Toy Jensen generative AI.As we approach the end of another exciting year at NVIDIA, it's time to look back at the most popular stories from the NVIDIA Technical Blog in 2023....Toy Jensen generative AI.

As we approach the end of another exciting year at NVIDIA, it’s time to look back at the most popular stories from the NVIDIA Technical Blog in 2023. Groundbreaking research and developments in fields such as generative AI, large language models (LLMs), high-performance computing (HPC), and robotics are leading the way in transformative AI solutions and capturing the interest of our readers.

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Fast-Track Computer Vision Deployments with NVIDIA DeepStream and Edge Impulse

By: Peter Ing
AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary...

AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary technology empowers you to unlock valuable information that was once impossible to obtain without significant operator intervention, and provides new opportunities for innovation and problem-solving. NVIDIA DeepStream SDK targets…

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