Share Your Science: Extracting Information from Images

Research, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Jan 19 2017

Anton van den Hengel, director of The University of Adelaide’s Australian Centre for Visual Technologies shares how his research group is working on Visual Question Answering (VQA) which uses deep learning to understand the contents of an image.

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App Helps Fishermen Instantly ID Their Catch

News, Cloud, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Jan 17 2017

Not sure which fish you caught? FishVerify uses artificial intelligence to help fishermen instantly identify their catch and learn local fishing regulations related to that specific specie.

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AI Predicts When Heart Will Fail

Research, CUDA, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 17 2017

Scientists from Imperial College London developed 3D virtual hearts from MRI scans to predict heart disease outcomes. “This is the first time computers have interpreted heart scans to accurately predict how long patients will live.

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Watch an AI Play Mario Kart

Features, Research, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jan 11 2017

A developer spent a couple of days over his winter break training an artificial neural network to play the classic racing game Mario Kart 64 and documented his results to share what he learned in the process.

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New AI App Provides Personalized Skin Care Evaluation

Features, News, Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 10 2017

With 65 years of skincare experience, Olay developed a deep learning-based tool that can act as your personalized beauty skin care advisor. “It’s become a real challenge to shop for skin care,” said Frauke Neuser, principal scientist at Olay.

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Identify Rare Diseases with a Selfie

News, Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 09 2017

A new deep learning app called Face2Gene lets doctors snap an image of a patient and receive a suggested diagnosis from thousands of genetic disorders.

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Share Your Science: The Impact of Deep Learning on Radiology

Features, Research, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Dec 13 2016

Ronald Summers, Senior Investigator at the National Institutes of Health (NIH) shares how they are trying to improve patient care by increasing the accuracy of radiologic diagnosis with advanced computer techniques.

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Predicting Your Brain Age From MRI Scans

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Dec 12 2016

Researchers from King’s College London developed a deep learning system to measure brain age using raw data from an MRI scanner that can help reveal the onset of conditions such as dementia.

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Real-Time Image Moderation API

News, Research, CUDA, cuDNN, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla, Video Processing

Nadeem Mohammad, posted Dec 07 2016

Artificial intelligence startup Sightengine developed image analysis technology to detect if images and videos contain offensive material, such as nudity, adult content or suggestive scenes.

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Deep Learning Helps Yelp Identify Cover Photos

News, Research, Cloud, CUDA, cuDNN, Image Recognition, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Retail / Etail

Nadeem Mohammad, posted Dec 06 2016

Engineers at Yelp, the popular crowd-sourced business review site, developed an algorithm that understands and determines which uploaded image should be a restaurant’s cover photo.

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