A Recurrent Neural Network (RNN) is a type of artificial neural network that is capable of processing sequences of data. It is especially useful for processing text, audio, or other sequences of data, since it can store and use information from previous steps in the sequence. RNNs contain "memory cells" that allow them to remember data from earlier steps and use it to inform decisions in later steps. This makes them well-suited for tasks such as language translation and speech recognition.