Jürgen Schmidhuber
Jürgen Schmidhuber | |
|---|---|
Schmidhuber speaking at the AI for GOOD Global Summit in 2017 | |
| Born | 17 January 1963 |
| Alma mater | Technical University of Munich |
| Known for | artificial neural networks, deep learning, Long short-term memory, Gödel machine, artificial curiosity, meta-learning |
| Scientific career | |
| Fields | Artificial intelligence |
| Institutions | Dalle Molle Institute for Artificial Intelligence Research |
| Thesis | Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-... hook (1987) |
| Website | people |
Jürgen Schmidhuber (born 17 January 1963) is a German computer scientist noted for his work in the field of artificial intelligence, specifically artificial neural networks. He is a scientific director of the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. He is also director of the Artificial Intelligence Initiative and professor of the Computer Science program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) division at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.
He is best known for his foundational and highly-cited work on long short-term memory (LSTM), a type of neural network architecture which was the dominant technique for various natural language processing tasks in research and commercial applications in the 2010s. He also introduced principles of dynamic neural networks, meta-learning, generative adversarial networks and linear transformers, all of which are widespread in modern AI.