The type of neural network specifically designed for processing sequences of data is the Recurrent Neural Network (RNN). RNNs utilize loops in their architecture, which allow them to maintain information across multiple time steps. This makes them particularly effective for tasks such as natural language processing, speech recognition, and time series analysis. Variants like Long Short-Term Memory (LSTM) networks are commonly used to enhance performance by addressing the problem of vanishing gradients.