This guide provides a simple definition for deep learning that helps differentiate it from machine learning and AI along with eight practical examples of how deep learning is used today.

Five ways deep learning has transformed image analysis From connectomics to behavioural biology, artificial intelligence is making it faster and easier to extract information from images.

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Deep learning has delivered super-human accuracy for image classification, object detection, image restoration and image segmentation—even handwritten digits can be recognized.

Image classification – For example, facial recognition in photographs or item identification in images for an e-commerce website are tasks that Deep Learning algorithms are employed for.

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.