Dr. Juergen Schmidhuber

Professor

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Biography

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.

Research Interests

Experience

Adjunct Professor

2010-01-01 — Present

Università della Svizzera italiana • Lugano

Involved in teaching and research in artificial intelligence and machine learning.

Requirements for Università della Svizzera italiana

Master Program
Requirements
IELTS
Overall
Required:6.5
TOEFL
Total
Required:85
GMAT
Prerequisites
Bachelor's degree in Economics or related disciplines At least 180 ECTS credits
Application Checklist
  • Bachelor's degree diploma
  • Official transcripts
  • Curriculum Vitae
  • Letter of motivation
  • English language certificate
  • GMAT/GRE (Mandatory for non-EU/non-EFTA)
  • Copy of passport/ID
Specialization Notes

Department of Finance - Master in Finance (MFIN).