Dynamic Time Warping (DTW) is an algorithm that measures similarity between two temporal sequences, which may vary in speed, by aligning them in a non-linear fashion. It is widely used in time series analysis, speech recognition, and bioinformatics to handle sequences that are not perfectly aligned in time.