Convolutional Neural Networks (CNNs) are a type of artificial intelligence model designed to process and analyze visual data. They work by using layers of filters to automatically detect patterns, such as edges and textures, in images. This hierarchical approach allows CNNs to learn increasingly complex features as data passes through multiple layers. CNNs are widely used in various applications, including image recognition, object detection, and video analysis. Their ability to efficiently handle large amounts of visual information makes them essential in fields like computer vision and deep learning, where they help machines understand and interpret visual content.