I will just be a little tiny puzzle piece in this huge civilization thing which, in retrospective, collectively, just will look like a flash in world history.

Jürgen Schmidhuber is a German computer scientist renowned for his pioneering contributions to artificial intelligence (AI), particularly in the realms of deep learning and neural networks. He earned his Ph.D. in computer science from the Technical University of Munich in 1991. Schmidhuber is best known for his work on Long Short-Term Memory (LSTM) networks, a type of recurrent neural network architecture developed in collaboration with his student Sepp Hochreiter in 1997. LSTM has become a cornerstone in sequence processing tasks, significantly advancing fields such as speech recognition, machine translation, and time-series prediction.

Schmidhuber's research interests encompass a wide array of AI topics, including reinforcement learning, artificial curiosity, and meta-learning. He has authored over 350 peer-reviewed papers and has been instrumental in shaping modern AI strategies, advising various governments and organizations. His contributions have been recognized with several prestigious awards, such as the Helmholtz Award of the International Neural Network Society in 2013 and the Neural Networks Pioneer Award from the IEEE Computational Intelligence Society in 2016. Schmidhuber's visionary work continues to influence the development of AI, driving innovations that bridge theoretical research and practical applications across diverse industries.

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