Example Concept: AI video upscaling employs neural networks, such as convolutional neural networks (CNNs), to analyze low-resolution frames and predict missing high-resolution details. These models are trained on vast datasets of high and low-resolution video pairs, allowing them to learn how to enhance textures, edges, and overall image quality. The result is a smoother, clearer video that retains more detail than traditional upscaling methods.