Jürgen Schmidhuber is s a computer scientist renowned for his work in the field of artificial intelligence, deep learning and artificial neural networks.
Since age 15 or so, the main goal of professor Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. His lab’s Deep Learning Neural Networks (since 1991) such as Long Short-Term Memory (LSTM) have revolutionised machine learning and AI.
By 2017, they were on 3 billion devices, and used billions of times per day through the users of the world’s most valuable public companies, e.g., for greatly improved (CTC-based) speech recognition on over 2 billion Android phones (since mid 2015), greatly improved machine translation through Google Translate (since Nov 2016) and Facebook (over 4 billion LSTM-based translations per day as of 2017), Apple’s Siri and Quicktype on almost 1 billion iPhones (since 2016), the answers of Amazon’s Alexa (since 2016), and numerous other applications.
In 2011, his team was the first to win official computer vision contests through deep neural nets, with superhuman performance. In 2012, they had the first deep NN to win a medical imaging contest (on cancer detection). This attracted enormous interest from industry. His research group also established the fields of metalearning, mathematically rigorous universal AI and recursive self-improvement in universal problem solvers that learn to learn (since 1987).
In the 1990s, Jürgen Schmidhuber introduced unsupervised adversarial neural networks that fight each other in a minimax game to achieve artificial curiosity etc. His formal theory of creativity & curiosity & fun explains art, science, music, and humor. He also generalized algorithmic information theory and the many-worlds theory of physics, and introduced the concept of Low-Complexity Art, the information age’s extreme form of minimal art.
He is recipient of numerous awards, author of over 350 peer-reviewed papers, and Chief Scientist of the company NNAISENSE, which aims at building the first practical general purpose AI. He is also advising various governments on AI strategies.
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