Interest in satellite imaging is growing, and the cost is coming down. Google snatched up the satellite-image-processing company Skybox Imaging last August, and today Google Ventures and other ...

Next they set up another deep-learning machine to generate 512x512-pixel images at random. It sends these maps to the trained machine, which evaluates them and sends its feedback.

They then fed the images to a new machine-learning tool that takes into consideration 26 image features related to things like brightness, color channels, and more. Their tool correctly identified ...

Researchers introduced an advanced handover strategy for LEO satellite networks using deep reinforcement learning (DRL) and graph neural networks (GNN). This approach significantly improved ...

In image processing, deep learning demonstrates significant potential for automated identification and labeling of features of interest, such as abnormal regions in a medical image.

Australian start-up Spiral Blue has launched two computers on small satellites to test in-orbit processing of Earth-observation images in hopes of making insights from space more accessible.

Deep learning has emerged as a transformative tool in ultrasound imaging, offering novel strategies for processing and enhancing ultrasound images. Advanced neural network architectures such as ...