Example Concept: AI image upscaling leverages neural networks trained on large datasets to fill in missing details and textures, effectively increasing the resolution of an image. By analyzing patterns and features in the input image, the AI can generate new pixels that enhance clarity and sharpness, often using techniques like super-resolution convolutional neural networks (SRCNN) or generative adversarial networks (GANs).