A Convolutional Neural Network (CNN) is a type of artificial intelligence model designed to recognize patterns in images. It works by using layers of filters that scan the image, detecting features like edges, shapes, and textures. This process helps the CNN learn to identify objects, such as animals or vehicles, by breaking down the image into smaller, manageable pieces. CNNs are widely used in various applications, including image classification, facial recognition, and self-driving cars. Their ability to automatically learn features from raw data makes them powerful tools in the field of computer vision, enabling machines to interpret visual information much like humans do.