Juergen Schmidhuber's home page - Universal Artificial Intelligence - New AI - Recurrent neural networks - Goedel Machine - Theory of everything - Algorithmic theory of everything - Computable universe - Zuse's thesis - Universal learning algorithms - Uni

31 Dec 17

Theo

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13 Aug 14

digerateur

machine learning

12 Aug 14

pleiadian53

neural networks nns ml deep learning

04 Aug 14

Aasemoon =)

Deep Learning People academia

30 Jun 14

Doug Breitbart

Prof. Jürgen Schmidhuber's Artificial Intelligence team has won nine international competitions in machine learning and pattern recognition (more than any other AI research group) and six independent best paper/best video awards, achieved the world's first superhuman visual classification results, Deep Learning since 1991 - Winning Contests in Pattern Recognition and Sequence Learning Through Fast & Deep / Recurrent Neural Networks has pioneered Deep Learning methods for Artificial Neural Networks since 1991, and established the field of mathematically rigorous universal AI and optimal universal problem solvers. His formal theory of creativity & curiosity & fun explains art, science, music, and humor. He generalized algorithmic information theory, and the many-worlds theory of physics, to obtain a minimal theory of all constructively computable universes - an elegant algorithmic theory of everything. Google & Apple and many other leading companies are now using the machine learning techniques developed in his group at the Swiss AI Lab IDSIA & USI & SUPSI (ex-TUM CogBotLab). Since age 15 or so his main scientific ambition has been to build an optimal scientist through self-improving AI, then retire. Progress is accelerating - are 40,000 years of human-dominated history about to converge within the next few decades?

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22 Dec 13