Long Short-Term Memory (LSTM) networks, introduced in 1997 by Sepp Hochreiter and Jürgen Schmidhuber, revolutionised sequential data modelling by overcoming the limitations of traditional RNNs. With applications in speech recognition, NLP, and time-series analysis, LSTMs have become essential for handling long-term dependencies in data.
