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'''[[Main Page|Home]] * [[People]] * Jürgen Schmidhuber'''
[[FILE:JuergenSchmidhuber.jpg|border|right|thumb|link=https://nnaisense.com/| Jürgen Schmidhuber <ref>[https://nnaisense.com/ NNAISENSE Team]</ref> ]]
'''Jürgen H. Schmidhuber''',<br/>
a German computer scientist, researcher and entrepreneur in the field of [[Artificial Intelligence|artificial intelligence]], in 2014 co-founder and subsequently chief scientist of the AI company ''NNAISENSE'' <ref>[https://nnaisense.com/ NNAISENSE Team]</ref>. His further affiliations include the Faculty of Computer Science, [https://en.wikipedia.org/wiki/Universit%C3%A0_della_Svizzera_italiana University of Lugano],
[https://en.wikipedia.org/wiki/SUPSI SUPSI] in [https://en.wikipedia.org/wiki/Manno Manno],
as director the Swiss [https://en.wikipedia.org/wiki/IDSIA AI Lab IDSIA], [https://en.wikipedia.org/wiki/Lugano Lugano],
and, as student, docent, and from 2004 until 2009 as [https://en.wikipedia.org/wiki/Professor#Main_positions_2 Professor Extraordinarius], the [[Technical University of Munich]].
Jürgen Schmidhuber is known for his research on [[Learning|machine learning]], [[Genetic Programming|genetic programming]], universal AI along with his former postdoc [[Marcus Hutter]], [[Neural Networks|artificial neural networks]] in particular [https://en.wikipedia.org/wiki/Recurrent_neural_network recurrent neural networks] (RNN) and [[Deep Learning|deep learning]], where he along with [[Mathematician#SHochreiter|Sepp Hochreiter]] coined the term [https://en.wikipedia.org/wiki/Long_short-term_memory long short-term memory] <ref>[http://www.scholarpedia.org/article/Deep_Learning Deep Learning - Scholarpedia] by [[Jürgen Schmidhuber]]</ref>, [[Konrad Zuse|Zuse's]] [https://en.wikipedia.org/wiki/Calculating_Space calculating space], [https://en.wikipedia.org/wiki/G%C3%B6del_machine Gödel machines], [http://www.scholarpedia.org/article/Universal_search universal search], [https://en.wikipedia.org/wiki/Theory_of_everything theory of everything], [https://en.wikipedia.org/wiki/Digital_physics digital physics], [https://en.wikipedia.org/wiki/Algorithmic_information_theory algorithmic information theory], [https://en.wikipedia.org/wiki/Kolmogorov_complexity Kolmogorov complexity], and [https://en.wikipedia.org/wiki/Low-complexity_art low-complexity art] <ref>[https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber Jürgen Schmidhuber from Wikipedia]</ref> .
=See also=
* [[Deep Learning#SchmidhuberVideoDeepLearning|Deep Learning RNNaissance]] with [[Jürgen Schmidhuber]]
=Selected Publications=
<ref>[http://www.idsia.ch/~juergen/onlinepub.html Juergen Schmidhuber's publications]</ref> <ref>[https://dblp.uni-trier.de/pers/hd/s/Schmidhuber:J=uuml=rgen dblp: Jürgen Schmidhuber]</ref>
==1990 ...==
* [[Jürgen Schmidhuber]] ('''1990'''). ''Reinforcement Learning in Markovian and Non-Markovian Environments''. [https://dblp.uni-trier.de/db/conf/nips/nips1990.html NIPS 1990], [ftp://ftp.idsia.ch/pub/juergen/nipsnonmarkov.pdf pdf]
* [[Jürgen Schmidhuber]], [[Rudolf Huber]] ('''1991'''). ''[https://www.worldscientific.com/doi/abs/10.1142/S012906579100011X Learning to Generate Artificial Fovea Trajectories for Target Detection]''. [http://www.informatik.uni-trier.de/%7Eley/db/journals/ijns/ijns2.html#SchmidhuberH91 International Journal of Neural Systems, Vol. 2, No. 1-2], [ftp://ftp.idsia.ch/pub/juergen/attention.pdf pdf] <ref>[https://en.wikipedia.org/wiki/Fovea_centralis Fovea centralis from Wikipedia]</ref>
* [[Jürgen Schmidhuber]] ('''1991'''). ''[http://people.idsia.ch/~juergen/promotion/ Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem]'' (Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem). Ph.D. thesis
* [[Jürgen Schmidhuber]] ('''1993'''). ''[http://www.idsia.ch/~juergen/habilitation/habilitation.html Netzwerkarchitekturen, Zielfunktionen und Kettenregel]''. Habilitationsschrift, [[Technical University of Munich|Technische Universität München]] (German)
* [[Mathematician#SHochreiter|Sepp Hochreiter]], [[Jürgen Schmidhuber]] ('''1995'''). ''[http://people.idsia.ch/~juergen/nipsfm/ Simplifying Neural Nets by Discovering Flat Minima]''. In [[Gerald Tesauro]], [http://www.cs.cmu.edu/%7Edst/home.html David S. Touretzky] and [http://www.bme.ogi.edu/%7Etleen/ Todd K. Leen] (eds.), ''[http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8420 Advances in Neural Information Processing Systems 7]'', NIPS'7, pages 529-536. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Mathematician#SHochreiter|Sepp Hochreiter]], [[Jürgen Schmidhuber]] ('''1997'''). ''Long short-term memory''. [https://en.wikipedia.org/wiki/Neural_Computation_%28journal%29 Neural Computation], Vol. 9, No. 8, [http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf pdf]
* [[Jürgen Schmidhuber]] ('''1997'''). ''[http://people.idsia.ch/~juergen/locoart/locoart.html Low-Complexity Art]''. [https://en.wikipedia.org/wiki/Leonardo_%28journal%29 Leonardo, Journal of the International Society for the Arts, Sciences, and Technology], Vol. 30 No. 2, [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1997'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:u5HHmVD_uO8C HQ-learning]''. [https://en.wikipedia.org/wiki/Adaptive_Behavior_%28journal%29 Adaptive Behavior], Vol. 6, No 2
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1998'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:2osOgNQ5qMEC Fast online Q (λ)]''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 33, No. 1
==2000 ...==
* [http://dblp.uni-trier.de/pers/hd/k/Klapper=Rybicka:Magdalena Magdalena Klapper-Rybicka], [[Nicol N. Schraudolph]], [[Jürgen Schmidhuber]] ('''2001'''). ''[http://nic.schraudolph.org/bib2html/b2hd-KlaSchSch01.html Unsupervised Learning in LSTM Recurrent Neural Networks]''. [http://dblp.uni-trier.de/db/conf/icann/icann2001.html#Klapper-RybickaSS01 ICANN 2001]
* [[Jürgen Schmidhuber]] ('''2003'''). ''[http://people.idsia.ch/~juergen/newai/newai.html The New AI:General & Sound & Relevant for Physics]''. Technical Report IDSIA-04-03
* [[Jürgen Schmidhuber]] ('''2004'''). ''[http://people.idsia.ch/~juergen/turing.html Turing's impact]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature] 429
* [http://people.idsia.ch/~tino/ Faustino J. Gomez], [[Jürgen Schmidhuber]] ('''2005'''). ''Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs''. [http://www.isgec.org/gecco-2005/awards.html GECCO 2005], [http://people.idsia.ch/~tino/papers/gomez.gecco05.pdf pdf]
* [[Jürgen Schmidhuber]] ('''2007'''). ''2006: Celebrating 75 years of AI - History and Outlook: the Next 25 Years''. [https://arxiv.org/abs/0708.4311 arXiv:0708.4311]
* [[Jürgen Schmidhuber]] ('''2007'''). ''Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity''. [https://arxiv.org/abs/0709.0674 arXiv:0709.0674]
* [[Jürgen Schmidhuber]] ('''2009'''). ''Ultimate Cognition à la Gödel''. Cognitive Computation, Vol. 1, No. 2, [http://people.idsia.ch/~juergen/ultimatecognition.pdf pdf]
==2010 ...==
* [[Jürgen Schmidhuber]] ('''2010'''). ''Formal Theory of Fun and Creativity''. [https://dblp.uni-trier.de/db/conf/pkdd/pkdd2010-1.html ECML/PKDD], [http://people.idsia.ch/~juergen/ieeecreative.pdf pdf]
* [[Jürgen Schmidhuber]] ('''2013'''). ''My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013''. [https://arxiv.org/abs/1312.5548 arXiv:1312.5548]
* [[Jürgen Schmidhuber]] ('''2014'''). ''Deep Learning in Neural Networks: An Overview''. [https://arxiv.org/abs/1404.7828 arXiv:1404.7828]
* [[Jürgen Schmidhuber]] ('''2015'''). ''[http://people.idsia.ch/~juergen/deep-learning-overview.html Deep Learning in Neural Networks: An Overview]''. [https://en.wikipedia.org/wiki/Neural_Networks_(journal) Neural Networks], Vol. 61
* [[Jürgen Schmidhuber]] ('''2015'''). ''On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models''. [https://arxiv.org/abs/1511.09249 arXiv:1511.09249]
* [[Jürgen Schmidhuber]] ('''2018'''). ''One Big Net For Everything''. [https://arxiv.org/abs/1802.08864 arXiv:1802.08864]
=External Links=
* [https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber Jürgen Schmidhuber from Wikipedia]
* [https://genealogy.math.ndsu.nodak.edu/id.php?id=118060 Jürgen Schmidhuber - The Mathematics Genealogy Project]
* [https://scholar.google.com/citations?user=gLnCTgIAAAAJ&hl=en Juergen Schmidhuber - Google Scholar Citations]
* [http://www.scholarpedia.org/article/Deep_Learning Deep Learning - Scholarpedia] by [[Jürgen Schmidhuber]]
* [http://hplusmagazine.com/2010/01/05/build-optimal-scientist-then-retire/ Build An Optimal Scientist, Then Retire], Jürgen Schmidhuber Interview at [http://hplusmagazine.com/ h+ Magazine] by [http://www.linkedin.com/in/anissimov Michael Anissimov], January 5, 2010
'''Schmidhuber Links'''
* [http://people.idsia.ch/~juergen/ Juergen Schmidhuber's home page]
* [http://people.idsia.ch/~juergen/learningrobots.html Learning Robots/ Robot Learning]
* [http://people.idsia.ch/~juergen/rl.html Reinforcement Learning and POMDPs] <ref>[https://en.wikipedia.org/wiki/Partially_observable_Markov_decision_process Partially Observable Markov Decision Process (POMDP) from Wikipedia]</ref>
* [http://people.idsia.ch/~juergen/unilearn.html Universal Learning Machines - Optimal Universal AI]
* [http://people.idsia.ch/~juergen/deeplearning.html Very Deep Learning Since 1991]
* [http://people.idsia.ch/~juergen/finance.html Neural Nets for Finance]
* [http://people.idsia.ch/~juergen/goedel.html Kurt Gödel] by [[Jürgen Schmidhuber]]
: [http://people.idsia.ch/~juergen/goedelmachine.html Gödel Machine Home Page]
* [http://people.idsia.ch/~juergen/turing.html Alan Turing] by [[Jürgen Schmidhuber]] » [[Alan Turing]]
* [http://people.idsia.ch/~juergen/zuse.html Konrad Zuse] by [[Jürgen Schmidhuber]] » [[Konrad Zuse]]
: [http://people.idsia.ch/~juergen/digitalphysics.html Zuse's Thesis - Zuse hypothesis - Algorithmic Theory of Everything - Digital Physics, Rechnender Raum (Computing Space, Computing Cosmos) - Computable Universe - The Universe is a Computer - Theory of Everything]
* [http://people.idsia.ch/~juergen/femmefractale.html Femme Fractale: Lady in Red] (1997-2010)
* [http://people.idsia.ch/~juergen/creativity.html Formal Theory of Creativity and Fun and Intrinsic Motivation Explains Science, Art, Music, Humor]
* [http://people.idsia.ch/~juergen/videos.html Videos of Juergen Schmidhuber & the Swiss AI Lab IDSIA]
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:JuergenSchmidhuber.jpg|border|right|thumb|link=https://nnaisense.com/| Jürgen Schmidhuber <ref>[https://nnaisense.com/ NNAISENSE Team]</ref> ]]
'''Jürgen H. Schmidhuber''',<br/>
a German computer scientist, researcher and entrepreneur in the field of [[Artificial Intelligence|artificial intelligence]], in 2014 co-founder and subsequently chief scientist of the AI company ''NNAISENSE'' <ref>[https://nnaisense.com/ NNAISENSE Team]</ref>. His further affiliations include the Faculty of Computer Science, [https://en.wikipedia.org/wiki/Universit%C3%A0_della_Svizzera_italiana University of Lugano],
[https://en.wikipedia.org/wiki/SUPSI SUPSI] in [https://en.wikipedia.org/wiki/Manno Manno],
as director the Swiss [https://en.wikipedia.org/wiki/IDSIA AI Lab IDSIA], [https://en.wikipedia.org/wiki/Lugano Lugano],
and, as student, docent, and from 2004 until 2009 as [https://en.wikipedia.org/wiki/Professor#Main_positions_2 Professor Extraordinarius], the [[Technical University of Munich]].
Jürgen Schmidhuber is known for his research on [[Learning|machine learning]], [[Genetic Programming|genetic programming]], universal AI along with his former postdoc [[Marcus Hutter]], [[Neural Networks|artificial neural networks]] in particular [https://en.wikipedia.org/wiki/Recurrent_neural_network recurrent neural networks] (RNN) and [[Deep Learning|deep learning]], where he along with [[Mathematician#SHochreiter|Sepp Hochreiter]] coined the term [https://en.wikipedia.org/wiki/Long_short-term_memory long short-term memory] <ref>[http://www.scholarpedia.org/article/Deep_Learning Deep Learning - Scholarpedia] by [[Jürgen Schmidhuber]]</ref>, [[Konrad Zuse|Zuse's]] [https://en.wikipedia.org/wiki/Calculating_Space calculating space], [https://en.wikipedia.org/wiki/G%C3%B6del_machine Gödel machines], [http://www.scholarpedia.org/article/Universal_search universal search], [https://en.wikipedia.org/wiki/Theory_of_everything theory of everything], [https://en.wikipedia.org/wiki/Digital_physics digital physics], [https://en.wikipedia.org/wiki/Algorithmic_information_theory algorithmic information theory], [https://en.wikipedia.org/wiki/Kolmogorov_complexity Kolmogorov complexity], and [https://en.wikipedia.org/wiki/Low-complexity_art low-complexity art] <ref>[https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber Jürgen Schmidhuber from Wikipedia]</ref> .
=See also=
* [[Deep Learning#SchmidhuberVideoDeepLearning|Deep Learning RNNaissance]] with [[Jürgen Schmidhuber]]
=Selected Publications=
<ref>[http://www.idsia.ch/~juergen/onlinepub.html Juergen Schmidhuber's publications]</ref> <ref>[https://dblp.uni-trier.de/pers/hd/s/Schmidhuber:J=uuml=rgen dblp: Jürgen Schmidhuber]</ref>
==1990 ...==
* [[Jürgen Schmidhuber]] ('''1990'''). ''Reinforcement Learning in Markovian and Non-Markovian Environments''. [https://dblp.uni-trier.de/db/conf/nips/nips1990.html NIPS 1990], [ftp://ftp.idsia.ch/pub/juergen/nipsnonmarkov.pdf pdf]
* [[Jürgen Schmidhuber]], [[Rudolf Huber]] ('''1991'''). ''[https://www.worldscientific.com/doi/abs/10.1142/S012906579100011X Learning to Generate Artificial Fovea Trajectories for Target Detection]''. [http://www.informatik.uni-trier.de/%7Eley/db/journals/ijns/ijns2.html#SchmidhuberH91 International Journal of Neural Systems, Vol. 2, No. 1-2], [ftp://ftp.idsia.ch/pub/juergen/attention.pdf pdf] <ref>[https://en.wikipedia.org/wiki/Fovea_centralis Fovea centralis from Wikipedia]</ref>
* [[Jürgen Schmidhuber]] ('''1991'''). ''[http://people.idsia.ch/~juergen/promotion/ Dynamische neuronale Netze und das fundamentale raumzeitliche Lernproblem]'' (Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem). Ph.D. thesis
* [[Jürgen Schmidhuber]] ('''1993'''). ''[http://www.idsia.ch/~juergen/habilitation/habilitation.html Netzwerkarchitekturen, Zielfunktionen und Kettenregel]''. Habilitationsschrift, [[Technical University of Munich|Technische Universität München]] (German)
* [[Mathematician#SHochreiter|Sepp Hochreiter]], [[Jürgen Schmidhuber]] ('''1995'''). ''[http://people.idsia.ch/~juergen/nipsfm/ Simplifying Neural Nets by Discovering Flat Minima]''. In [[Gerald Tesauro]], [http://www.cs.cmu.edu/%7Edst/home.html David S. Touretzky] and [http://www.bme.ogi.edu/%7Etleen/ Todd K. Leen] (eds.), ''[http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8420 Advances in Neural Information Processing Systems 7]'', NIPS'7, pages 529-536. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Mathematician#SHochreiter|Sepp Hochreiter]], [[Jürgen Schmidhuber]] ('''1997'''). ''Long short-term memory''. [https://en.wikipedia.org/wiki/Neural_Computation_%28journal%29 Neural Computation], Vol. 9, No. 8, [http://deeplearning.cs.cmu.edu/pdfs/Hochreiter97_lstm.pdf pdf]
* [[Jürgen Schmidhuber]] ('''1997'''). ''[http://people.idsia.ch/~juergen/locoart/locoart.html Low-Complexity Art]''. [https://en.wikipedia.org/wiki/Leonardo_%28journal%29 Leonardo, Journal of the International Society for the Arts, Sciences, and Technology], Vol. 30 No. 2, [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1997'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:u5HHmVD_uO8C HQ-learning]''. [https://en.wikipedia.org/wiki/Adaptive_Behavior_%28journal%29 Adaptive Behavior], Vol. 6, No 2
* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1998'''). ''[https://scholar.google.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:2osOgNQ5qMEC Fast online Q (λ)]''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 33, No. 1
==2000 ...==
* [http://dblp.uni-trier.de/pers/hd/k/Klapper=Rybicka:Magdalena Magdalena Klapper-Rybicka], [[Nicol N. Schraudolph]], [[Jürgen Schmidhuber]] ('''2001'''). ''[http://nic.schraudolph.org/bib2html/b2hd-KlaSchSch01.html Unsupervised Learning in LSTM Recurrent Neural Networks]''. [http://dblp.uni-trier.de/db/conf/icann/icann2001.html#Klapper-RybickaSS01 ICANN 2001]
* [[Jürgen Schmidhuber]] ('''2003'''). ''[http://people.idsia.ch/~juergen/newai/newai.html The New AI:General & Sound & Relevant for Physics]''. Technical Report IDSIA-04-03
* [[Jürgen Schmidhuber]] ('''2004'''). ''[http://people.idsia.ch/~juergen/turing.html Turing's impact]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature] 429
* [http://people.idsia.ch/~tino/ Faustino J. Gomez], [[Jürgen Schmidhuber]] ('''2005'''). ''Co-Evolving Recurrent Neurons Learn Deep Memory POMDPs''. [http://www.isgec.org/gecco-2005/awards.html GECCO 2005], [http://people.idsia.ch/~tino/papers/gomez.gecco05.pdf pdf]
* [[Jürgen Schmidhuber]] ('''2007'''). ''2006: Celebrating 75 years of AI - History and Outlook: the Next 25 Years''. [https://arxiv.org/abs/0708.4311 arXiv:0708.4311]
* [[Jürgen Schmidhuber]] ('''2007'''). ''Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity''. [https://arxiv.org/abs/0709.0674 arXiv:0709.0674]
* [[Jürgen Schmidhuber]] ('''2009'''). ''Ultimate Cognition à la Gödel''. Cognitive Computation, Vol. 1, No. 2, [http://people.idsia.ch/~juergen/ultimatecognition.pdf pdf]
==2010 ...==
* [[Jürgen Schmidhuber]] ('''2010'''). ''Formal Theory of Fun and Creativity''. [https://dblp.uni-trier.de/db/conf/pkdd/pkdd2010-1.html ECML/PKDD], [http://people.idsia.ch/~juergen/ieeecreative.pdf pdf]
* [[Jürgen Schmidhuber]] ('''2013'''). ''My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013''. [https://arxiv.org/abs/1312.5548 arXiv:1312.5548]
* [[Jürgen Schmidhuber]] ('''2014'''). ''Deep Learning in Neural Networks: An Overview''. [https://arxiv.org/abs/1404.7828 arXiv:1404.7828]
* [[Jürgen Schmidhuber]] ('''2015'''). ''[http://people.idsia.ch/~juergen/deep-learning-overview.html Deep Learning in Neural Networks: An Overview]''. [https://en.wikipedia.org/wiki/Neural_Networks_(journal) Neural Networks], Vol. 61
* [[Jürgen Schmidhuber]] ('''2015'''). ''On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models''. [https://arxiv.org/abs/1511.09249 arXiv:1511.09249]
* [[Jürgen Schmidhuber]] ('''2018'''). ''One Big Net For Everything''. [https://arxiv.org/abs/1802.08864 arXiv:1802.08864]
=External Links=
* [https://en.wikipedia.org/wiki/J%C3%BCrgen_Schmidhuber Jürgen Schmidhuber from Wikipedia]
* [https://genealogy.math.ndsu.nodak.edu/id.php?id=118060 Jürgen Schmidhuber - The Mathematics Genealogy Project]
* [https://scholar.google.com/citations?user=gLnCTgIAAAAJ&hl=en Juergen Schmidhuber - Google Scholar Citations]
* [http://www.scholarpedia.org/article/Deep_Learning Deep Learning - Scholarpedia] by [[Jürgen Schmidhuber]]
* [http://hplusmagazine.com/2010/01/05/build-optimal-scientist-then-retire/ Build An Optimal Scientist, Then Retire], Jürgen Schmidhuber Interview at [http://hplusmagazine.com/ h+ Magazine] by [http://www.linkedin.com/in/anissimov Michael Anissimov], January 5, 2010
'''Schmidhuber Links'''
* [http://people.idsia.ch/~juergen/ Juergen Schmidhuber's home page]
* [http://people.idsia.ch/~juergen/learningrobots.html Learning Robots/ Robot Learning]
* [http://people.idsia.ch/~juergen/rl.html Reinforcement Learning and POMDPs] <ref>[https://en.wikipedia.org/wiki/Partially_observable_Markov_decision_process Partially Observable Markov Decision Process (POMDP) from Wikipedia]</ref>
* [http://people.idsia.ch/~juergen/unilearn.html Universal Learning Machines - Optimal Universal AI]
* [http://people.idsia.ch/~juergen/deeplearning.html Very Deep Learning Since 1991]
* [http://people.idsia.ch/~juergen/finance.html Neural Nets for Finance]
* [http://people.idsia.ch/~juergen/goedel.html Kurt Gödel] by [[Jürgen Schmidhuber]]
: [http://people.idsia.ch/~juergen/goedelmachine.html Gödel Machine Home Page]
* [http://people.idsia.ch/~juergen/turing.html Alan Turing] by [[Jürgen Schmidhuber]] » [[Alan Turing]]
* [http://people.idsia.ch/~juergen/zuse.html Konrad Zuse] by [[Jürgen Schmidhuber]] » [[Konrad Zuse]]
: [http://people.idsia.ch/~juergen/digitalphysics.html Zuse's Thesis - Zuse hypothesis - Algorithmic Theory of Everything - Digital Physics, Rechnender Raum (Computing Space, Computing Cosmos) - Computable Universe - The Universe is a Computer - Theory of Everything]
* [http://people.idsia.ch/~juergen/femmefractale.html Femme Fractale: Lady in Red] (1997-2010)
* [http://people.idsia.ch/~juergen/creativity.html Formal Theory of Creativity and Fun and Intrinsic Motivation Explains Science, Art, Music, Humor]
* [http://people.idsia.ch/~juergen/videos.html Videos of Juergen Schmidhuber & the Swiss AI Lab IDSIA]
=References=
<references />
'''[[People|Up one level]]'''
