Example Concept: AI video enhancement involves using deep learning models to analyze low-resolution or noisy video frames and predict higher-resolution versions. These models, often based on convolutional neural networks (CNNs), learn from vast datasets to fill in missing details and improve clarity, resulting in a sharper and more visually appealing video output.