APPLICATIONS

Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT

Algorithms & Models, Articles, Automotive, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Starting with TensorRT 7.0,  the Universal Framework Format (UFF) is being deprecated. In this post, you learn how to deploy TensorFlow trained deep learning models using the new TensorFlow-ONNX-TensorRT workflow. Figure 1 shows the high-level workflow of TensorRT. […]

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Huiying Medical: Helping Combat COVID-19 with AI Technology

Blog Posts, Intel, Medical /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The COVID-19 coronavirus, since its initial outbreak in Wuhan, China, has quickly become a global pandemic, as declared by the World Health Organization (WHO). The number of confirmed cases has exceeded 577,531 globally as of March 27,

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“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets,” a Presentation from Yole Développement

Automotive, Market Analysis, Processors, Videos, Yole Group /

John Lorenz, Market and Technology Analyst for Computing and Software at Yole Développement, delivers the presentation “Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Lorenz presents Yole Développement’s latest analysis on the evolution of

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Deep Learning for Medical Imaging: COVID-19 Detection

Articles, MathWorks, Medical /

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. I’m pleased to publish another post from Barath Narayanan, University of Dayton Research Institute (UDRI), LinkedIn Profile. Co-author: Dr. Russell C. Hardie, University of Dayton (UD) Dr. Barath Narayanan graduated with MS and Ph.D. degree in Electrical Engineering

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Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

Automotive, Blog Posts, NVIDIA /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Deep neural network takes a two-stage approach to address lidar processing challenges. Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how

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A Faster, Simpler Path to AI-Enabled Robotics: The UP Squared RoboMaker Developer Kit, Powered by Intel and AWS

Blog Posts, Intel, Robotics /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The pace of innovation is quickening across all industries, including manufacturing and the intelligent factories of Industry 4.0. Unlocking the value of data via machine learning is propelling us into this next phase, and innovations in industrial

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The Guide to Machine Learning in Retail: Applications and Use Cases

Articles, Retail, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction Artificial intelligence (AI) and machine learning (ML) are among the top technology trends in the retail world. They are having a great impact on the industry, in particular in e-commerce companies that rely on online sales, where

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Robotic Components: The Building Blocks of Robotic Life

Market Analysis, Robotics /

This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a

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Video Analytics Solutions Are Driven by the Need for Safety and Security, With Global Revenue Reaching $4.5 Billion in 2025

Information Access and Analytics, Market Analysis, Security /

The Rise of Artificial Intelligence Has Been Instrumental in Drastically Raising Accuracy Levels to Meet Market Demands The world of computer vision has evolved rapidly in recent years, and computers are now more accurate than humans in some application areas. A new application of computer vision called video analytics (VA) has emerged. VA deals with

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“Vision Opportunities in Healthcare,” a Presentation from Woodside Capital Partners

Edge AI and Vision Alliance, Market Analysis, Medical, Videos /

Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation “Vision Opportunities in Healthcare” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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