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Jürgen Schmidhuber is a professor at the Università della Svizzera italiana, renowned for his pioneering work in artificial intelligence (AI) and neural networks. He is recognized for developing Long Short-Term Memory (LSTM) networks, which have transformed machine learning and are widely used in applications such as speech recognition, machine translation, and AI systems. His research group established a mathematically rigorous framework for universal AI and recursive self-improvement, leading to significant advancements in the ability of algorithms to learn and adapt. Schmidhuber's contributions extend to creativity, curiosity, and the understanding of beauty in AI systems, grounded in algorithmic information theory. He has received numerous awards for his work and serves as Chief Scientist at NNAISENSE, a company dedicated to building practical general-purpose AI. His interests include evolving recurrent neural networks for various applications, including robot control and financial forecasting. Through his research, he aims to push the boundaries of AI, creating systems that can learn in more sophisticated and human-like ways.
Università della Svizzera italiana • Lugano
Involved in teaching and research in artificial intelligence and machine learning.
Department of Finance - Master in Finance (MFIN).