Sepp Hochreiter

Sepp Hochreiter is a prominent figure in the field of artificial intelligence and machine learning, particularly known for his contributions to deep learning. He is best known for co-developing the Long Short-Term Memory (LSTM) architecture, which is a type of recurrent neural network (RNN) designed to address the vanishing gradient problem, enabling the model to learn long-term dependencies in sequential data. Hochreiter earned his Ph.D.