Google is using machine learning to upscale jpeg images much ... to work out which filters it can apply to the low-res image's pixels to get them closest to what's in the full-res file, taking ...

This little chip sits alongside the Pixel 4’s main processor to efficiently run Google’s powerful machine learning workloads. These range from image processing to voice recognition and ...

For instance, if you train a machine-learning algorithm to tell the difference between cats and dogs, it will try to create a statistical model that can tell whether the pixels in a new image are ...

The data were acquired at low-dose (372 electrons/pixel). The reconstructed image is now practically noise free and the true position of the atoms can be determined with enhanced precision. (Courtesy: ...

The Pixel Visual Core also handles complex imaging and machine learning tasks related to the camera, which includes auto image adjustments based on the scene, among other uses. Pixel Visual Core ...

Some of the most common applications of machine learning in computer vision ... specifies the object class of each pixel in an input image. Instance segmentation separates individual instances ...

New to the app are machine learning assets implemented via the Core ML framework that power intelligent editing tools and features like the ability to detect attributes in images for accurate ...

Mac image editing app Pixelmator Pro has been updated to include one-click removal of color banding, or posterization, via AI-powered Machine Learning. Hard on the heels of its update to include ...