August 4, 2020

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Speedup End-to-End Vision AI Using Transfer Learning Toolkit 2.0 & DeepStream SDK 5.0

We’ve added major features and enhancements requested by our developer community for the production release of our Vision AI software suite: Transfer Learning Toolkit 2.0 and DeepStream SDK 5.0. Here is an overview of key features available. … Read more

July 28, 2020

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Developer Blog: Deploying Real-time Object Detection Models

This technical post is the first in a series that shows you how to use Docker for object detection with NVIDIA Transfer Learning Toolkit (TLT). … Read more

July 15, 2020

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The New York Times and wrnch Developed an AI Model to Improve Sports Storytelling

To improve how sporting events are covered in the news, a new AI 3D pose estimation model was recently developed by a group of researchers from The New York Times R&D group, and wrnch, an AI-computer vision company and member of the NVIDIA Inception program. … Read more

July 1, 2020

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NVIDIA OptiX SDK Tackles Hair and Fur with Release 7.1

OptiX SDK 7.1 is the latest update to the new OptiX 7 API. Version 7.1 introduces a new curve primitive for hair and fur, tiled denoising, and improved debugging and profiling. … Read more

June 26, 2020

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Jetson Project of the Month: Qrio – an interactive AI bot

Agustinus (Gus) Nalwan was awarded the Jetson Project of the Month for his interactive AI bot, Qrio. This bot, running on the NVIDIA Jetson Nano, can ask for a toy, identify and state its name and play videos related to it. … Read more

June 18, 2020

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CVPR 2020: Researchers Develop AI Solutions to Improve Transportation Systems

To accelerate research and development of techniques to help make transportation systems smarter, researchers at the annual Computer Vision and Pattern Recognition Conference (CVPR) competed in the fourth annual AI City Challenge. … Read more

June 17, 2020

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Creating More Engaging Sports Broadcasts With AI

Researchers at Stats Perform, a sports analytics company, have developed an AI-based method that makes camera calibration faster and more flexible. … Read more

June 16, 2020

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NVIDIA Academic Partners and Inception Members Present AI Research at CVPR 2020

CVPR is one of the main conferences which provide researchers and engineers with the opportunity to meet and discuss their amazing work. This year, with CVPR and other conferences going virtual, we take the opportunity to recognize our academic and Inception industry partners’ work at CVPR 2020 through this post. … Read more

June 16, 2020

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CVPR 2020: NVIDIA Research Supercharges Autonomous Vehicle Perception Testing

In a research paper presented at the Computer Vision and Pattern Recognition Conference (CVPR) this week, NVIDIA GPUs were found to drastically reduce the time it takes to evaluate perception models using a new sophisticated evaluation metric. … Read more

October 17, 2019

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New MIT Video Recognition Model Dramatically Improves Latency on Edge Devices

MIT researchers developed a new deep learning model that outperforms previous state-of-the-art models in video recognition tasks. … Read more