are used to classify data into different categories. They are trained using a large set of labeled data and then used to make predictions on new, unlabeled data. ANNs use a variety of algorithms such as backpropagation, radial basis functions, and self-organizing maps. They can be used for a variety of tasks such as image recognition, speech recognition, and natural language processing.