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A Breath of Fresh Air: How GE Healthcare is Accelerating Pneumothorax Detection with AI

Blog Posts, Intel, Medical /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Medical imaging data contains the power to save lives. Every tiny sliver of an image potentially holds the key to hugely important breakthroughs in treatment. And this year alone, hospitals produced over 50 petabytes of data, with […]

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Machine Vision: MVTec Presents New and Optimized Features with HALCON 20.05

Industrial Vision (Computer Vision), MVTec, News, Software /

Rapid access to product improvements, thanks to short release cycles Deep learning training right on the CPU To be released on May 20, 2020 Munich, April 08, 2020 – MVTec Software GmbH (www.mvtec.com), the leading international provider of machine vision software, will launch a new Progress release of its standard software HALCON on May 20, 2020.

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Robot Senses: Robots That Can See, Hear, Feel, and More

Market Analysis, Robotics, Sensors and Cameras /

This market research report was originally published at Omdia | Tractica’s website. It is reprinted here with the permission of Omdia | Tractica. A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That is changing due to a trend toward adding vision, torque, and other

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Sensors Are At the Heart Of the Robotic Mobility Disruption

Market Analysis, Robotics, Yole Group /

OUTLINES: A new generation of robotic vehicle is bringing MaaS to the masses. High end sensor technology and raw computing power is at the center of this ongoing market disruption. Sensors for robotic vehicles will become industries of their own: 51% CAGR expected for the next 15 years. “Disruption is coming to our streets and

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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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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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