Example Concept: AI upscaling models, such as those using convolutional neural networks (CNNs), identify and enhance key features like edges, textures, and colors by learning from a vast dataset of high-resolution images. This training allows the model to predict and reconstruct finer details, effectively filling in missing information to produce a higher-quality image.