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showing posts for 'photographs'

Pegasus: Spyware sold to governments 'targets activists'

Israeli tech firm NSO denies media reports that its software has been sold to authoritarian regimes. The Android and iOS spyware can apparently see photographs and contacts, log everything that is typed, and turn on the camera and microphone.
Source: bbc.com

MyHeritage Deep Nostalgia™, deep learning technology to animate the faces in still family photos

MyHeritage have used the same AI technology behind deep fakes to analyse old photographs and link them to movements from a number of videos of other moving faces. Bring your ancestors back to life.
Source: myheritage.com

This 3.2 gigapixel cauliflower is the largest photograph ever taken: To test the sensors in the largest digital camera ever

This 3.2 gigapixel cauliflower is the largest photograph ever taken: To test the sensors in the largest digital camera ever built, scientists at the SLAC National Accelerator Laboratory focused in on a Romanesco cauliflower, producing one of the biggest digital photographs ever taken
Source: newscientist.com

Guide To Using Reverse Image Search For Investigations

"Guide To Using Reverse Image Search For Investigations - bellingcat: Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use...
Source: bellingcat.com

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs:

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs: This study assesses the sensitivity and specificity of an algorithm based on deep machine learning for automated detection of diabetic retinopathy and diabetic macular edema in...
Source: jamanetwork.com

Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia Edited by David G. Fairchild, MD, MPH, and

Machine Learning Detects Diabetic Retinopathy with High Accuracy: By Joe Elia Edited by David G. Fairchild, MD, MPH, and Lorenzo Di Francesco, MD, FACP, FHM A computer algorithm, based on "deep machine learning," evaluated retinal fundus photographs for … NEJM Journal Watch.
Source: jwatch.org