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'''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 academic and commercial 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],
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]].
==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.worldscientificresearchgate.comnet/doipublication/abs/10.1142/S012906579100011X 2290900_Using_Adaptive_Sequential_Neurocontrol_For_Efficient_Learning_Of_Translation_And_Rotation_Invariance Using sequential adaptive Neuro-control for efficient Learning to Generate Artificial Fovea Trajectories for Target Detectionof Rotation and Translation Invariance]''. In [http[Mathematician#TKohonen|Teuvo Kohonen]], [https://www.informatikdblp.uni-trier.de/%7Eleypers/dbhd/journalsm/ijnsMakisara:Kai Kai Mäkisara], [http:/ijns2/users.html#SchmidhuberH91 International Journal of Neural Systems, Volics. 2, Notkk. 1-2fi/ollis/ Olli Simula], [ftphttp://ftpcis.idsialegacy.chics.tkk.fi/pubjari/ Jari Kangas] (eds.) ('''1991'''). ''[https:/juergen/attentionwww.pdf pdfsciencedirect.com/book/9780444891785/artificial-neural-networks#book-description Artificial Neural Networks] <ref>''. [https://en.wikipedia.org/wiki/Fovea_centralis Fovea centralis from WikipediaElsevier Elsevier]</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]] ('''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'''). ''[httpshttp://scholarpeople.googleidsia.comch/~juergen/hq/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJ:u5HHmVD_uO8C ab.html HQ-learning]''. [https://en.wikipedia.org/wiki/Adaptive_Behavior_%28journal%29 Adaptive Behavior], Vol. 6, No 2* [[Marco Wiering]], [[Jürgen Schmidhuber]] ('''1998'''). ''[https://scholarlink.googlespringer.com/citations?view_op=view_citation&hl=en&user=xVas0I8AAAAJ&citation_for_view=xVas0I8AAAAJarticle/10.1023/A:2osOgNQ5qMEC 1007562800292 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]] ('''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]
* [https://scholar.google.com/citations?user=52L53fEAAAAJ&hl=en Marijn F. Stollenga], [[Alan J. Lockett]], [[Jürgen Schmidhuber]] ('''2015'''). ''[https://ieeexplore.ieee.org/abstract/document/7363550 The Natural Gradient as a control signal for a humanoid robot]''. [https://dblp.uni-trier.de/db/conf/humanoids/humanoids2015.html Humanoids 2015]
* [[Jürgen Schmidhuber]] ('''2018'''). ''One Big Net For Everything''. [https://arxiv.org/abs/1802.08864 arXiv:1802.08864]
