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Diagnosing Lung Disease Using Deep Learning

Introduction Emphysema, a progressive lung disease that impacts breathing ability, affects more than 3 million people in the United States, and more than 65 million people worldwide. Early detection is key in stopping the progression of emphysema, which in severe cases is life-threatening. Pneumonia, a lung infection that also impacts breathing, causes another 1.4 million…

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#Dell EMC#SURFsara#Intel Xeon Processors#Health and Life Sciences (HLS)#Intel MKL-DNN#ResNet 50#SSD-VGG16#Transfer Learning

Accelerate Vision-based AI with Intel® Distribution of OpenVINO™ Toolkit

Inspecting parts for defects before they continue through the manufacturing process. Identifying different items being placed into a shopping basket for a checkout-free retail experience. Computer vision’s broad range of usage models makes it one of the most exciting AI applications today. However, even after a deep learning model is trained, significant challenges remain before…

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#Intel Xeon Processors#Big Data#Computer Vision

Sailing the Seas of Autonomous Shipping

International shipping is involved in 90% of world trade.[1] Just take a look at Shipmap.org to see the thousands of ships carrying millions of containers to get a sense of how truly enormous global shipping is on a daily basis. With significant opportunities to improve safety and efficiency in this huge market, a Rolls-Royce team…

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#Rolls Royce#Intel Xeon Processors#Retail#Transportation#Autonomous Driving#Big Data#Inference

Deep Learning is Coming of Age

In the early days of artificial intelligence (AI), Hans Moravec asserted what became known as Moravec’s paradox: "it is comparatively easy to make computers exhibit adult-level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility.” This assertion held…

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#General

Experience AI Theory in Action at the Artificial Intelligence Conference in London

There’s no “one size fits all” when deploying AI today - instead, you’ll find a mix of applications with varying compute, storage, memory, and communications needs. Intel AI technologies are designed to support usage models as diverse as training massive, unstructured data sets to performing on-device inference. And the industries finding value in AI are…

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#The AI Conference

Heterogenous Computing: AI Hardware Designed for Specific Tasks

Artificial Intelligence (AI) is quickly advancing in its ability to process and automate repetitive tasks through training and inference. To truly unleash the power of machine learning (ML) and deep learning (DL), and free it from processing delays, various types of AI hardware along with a robust software stack are needed to bring it closer…

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#The Linley Group#Intel Nervana Neural Network Processor#Intel Stratix 10 FPGA#Intel Xeon Processors#Intel® Arria® 10 FPGA#Intel® Movidius™ Visual Processing Unit#General#Computer Vision#Inference

Using Machine Learning and EMR Data to Predict Patient Decline

Can predictive analytics alert a hospital’s rapid-response team (RRT) to a health crisis in the making? Yes they can, said Brett MacLaren, vice president of enterprise analytics at Sharp HealthCare in San Diego, California. MacLaren oversaw an eight-week proof-of-concept (PoC) project that analyzed data from the hospital’s Cerner* electronic medical record (EMR) system to identify…

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#Cloudera#Sharp Healthcare#Intel Xeon Processors#Health and Life Sciences (HLS)#Predictive Analytics