I am Jürgen Schmidhuber (pronounce: You_again Shmidhoobuh) and I will be here to answer your questions on 4th March 2015, 10 AM EST. 2015-03-05. ICINCO (1) 2014: 102-109 He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. I've found Graves's treatment here to be great, but I am looking for another complementary text which works out toy examples. This thread is archived. Schmidhuber: Critique of Honda Prize for Dr. Hinton [BW] H. Bourlard, C. J. Wellekens (1989). LSTM falls out of this almost naturally :-). Another interviewee jokes that AI is being developed by a number of firms and a handful of governments for 3 functions – “killing, spying and brainwashing” and the movie then briskly rattles via the worst-case eventualities dealing with human civilisation. Reddit网友发帖称，建议今年的图灵奖颁给Jürgen Schmidhuber。 话题一出，便引起了网友们的热烈讨论。 有人持赞同观点，有人却觉得不配。 I for one would be really excited to do the course!! Tags: AI, Deep Learning, Deep Neural Network, Human Intelligence, Jurgen Schmidhuber, PhD, Python, Quantum Computing, Reddit. Juergen Schmidhuber's answers from the Reddit AMA. Sounds perfect Wahhhh, I … Highlights. The following may represent a simpler and more general view of consciousness. view refined list in Each memory cell has a self -connected recurrent edge Hochreiter and Schmidhuber Lipton, Zachary C., John Berkowitz, and Charles Elkan. Dr.Schmidhuber has been vociferous about the ignorance of the original inventors in the AI community. 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. You can post questions now in advance in this thread.. (Human brains have maybe a thousand trillion, much slower, connections - to match this economically may require another decade of hardware development or so). Here are some of his thoughts we found interesting, grouped by topic. José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres: A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. Here are some of their recent competitive achievements in competitions and challenges: 22 Sept 2013: Deep neural […] TR FKI-128-90, TUM, 1990. “A Critical Review of Recurrent Neural Networks for Sequence Learning.” J. Schmidhuber on Seppo Linnainmaa, inventor of backpropagation in 1970. Introduction of the memory cell! I am a big fan of the open source movement, and we've already concluded internally to contribute more to it. Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber: Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. Videos (2009-) Publications (2017) CV (2019) Master's in Artificial Intelligence (Fall 2017) Contact: Jürgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland Fax +41 58 666666 1 Fon +41 58 666666 2 Sec +41 58 666666 6 Send spam etc to firstname.lastname@example.org Le chercheur en informatique Jürgen Schmidhuber (université de Munich) a démontré qu’un système Turing-équivalent comme notre univers pourrait calculer de façon optimale toutes les évolutions d’univers possibles grâce au théorème de Cook-Levin (théorème montrant que le problème SAT est NP-complet). GECCO, Amsterdam, July 2013. http://people.idsia.ch/~juergen/compressednetworksearch.html. You can post questions in this thread in the meantime. Jürgen Schmidhuber, pioneer in innovating Deep Neural Networks, answers questions on open code, general problem solvers, quantum computing, PhD students, online courses, and the neural network research community in this Reddit AMA. 173-182(10), 2012. (Only toy experiments - computers were a million times slower back then.) Your results are impressive, but almost always not helpful for pushing the research forward. (2017) Deep Learning. Press question mark to learn the rest of the keyboard shortcuts, http://people.idsia.ch/~juergen/fundamentaldeeplearningproblem.html. CoRR abs/1802.10353 (2018) Last update 2 Sept 2020 (older stuff since 2004) Click on squares: Selected invited keynotes / videos / etc News & new pages Updates & updated pages 2020. Five major deep learning papers by G. Hinton did not cite similar earlier work by J. Schmidhuber. Cookies help us deliver our Services. Conversation with Jürgen Schmidhuber. You can post questions in this thread in the meantime. Jürgen Schmidhuber; WHAT'S NEW? Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning. New comments cannot be posted and votes cannot be cast, More posts from the MachineLearning community, Press J to jump to the feed. Such a great question for almost any AMA.  V. Mnih, N. Heess, A. Graves, K. Kavukcuoglu. Here is the already mentioned code http://sourceforge.net/projects/rnnl/ of the first competition-winning RNNs (2009) by my former PhD student and then postdoc Alex Graves. IDSIA's Deep Learners were also the first to win object detection and image segmentation contests, and achieved the world's first superhuman visual classification results, winning nine international competitions in machine learning & pattern recognition (more than any other team). Share . Posted by 3 years ago. How on earth did you and Hochreiter come up with LSTM units? Arxiv 2019. Discussion. Thanks! His lab’s Deep Learning Neural Networks (since 1991) such as Long Short-Term Memory (LSTM) have revolutionised machine learning, and are now available to billions of users through the … 36 (6): 9737-9742 (2009) J. Schmidhuber on Seppo Linnainmaa, inventor of backpropagation in 1970. A previous post (2019) focused on our Annus Mirabilis 1990-1991 at TU Munich. Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh June 2015 Machine learning is the science of credit assignment. Perhaps much of this won’t really mean breakthroughs in the scientific sense, because many of the basic methods already exist. Dr.Schmidhuber, “Deep Learning Conspiracy” (Nature 521 p 436) Though the contributions of Lecun, Bengio and Hinton to deep learning cannot be disputed, they are accused of inflating a citation bubble. The Schmidhuber 1987 paper is clearly labeled and established and as a nasty slight he juxtaposes his paper against Schmidhuber with his preceding it by a year almost doing the opposite of giving him credit. Jürgen Schmidhuber (2014, updated Nov 2020) Pronounce: You_again Shmidhoobuh: Blog @SchmidhuberAI: ... [R7] Reddit/ML, 2019. Introduction of the memory cell! Read the transcript of the many answers that Jürgen gave during the "Ask Me Anything" session on the popular Reddit platform SUPSI - Dalle Molle Institute for Artificial Intelligence - J. Schmidhuber AMA on Reddit FAQ in AMA (Ask Me Anything) on reddit. LSTM falls out of this almost naturally :-). No need to simulate the world millisecond by millisecond (humans apparently don’t do that either, but learn to jump ahead to important abstract subgoals). G+ posts on Deep Learning and AI etc. From an AGI point of view, consciousness is at best a by-product of a general problem solving procedure. Philosophers & Futurists, Catch Up! of ?? The recurrent NNs (RNNs) developed by his research groups at the Swiss AI Lab IDSIA (USI & SUPSI) & TU Munich were the first RNNs to win official international contests. Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber: Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. See especially Sec. Jürgen Schmidhuber is an informatician renowned for his work on artificial intelligence, ... Good www.reddit.com Since age 15 or so, Jürgen Schmidhuber's main scientific ambition has been to build an optimal scientist through self-improving Artificial Intelligence (AI), then retire. Think about this. To conclude: Jürgen Schmidhuber is a Deep Learning pioneer worth of having received the Turing award along with Hinton, LeCun, and Bengio. refinements active! How – 1997, Sepp & Jürgen • Designed to overcome the problem of vanishing/exploding gradients! I think it is just the product of a few principles that will be considered very simple in hindsight, so simple that even kids will be able to understand and build intelligent, continually learning, more and more general problem solvers. The inventor of an important method should get credit for inventing it. Jürgen Schmidhuber 26 July 2010 | Frontiers of Electrical and Electronic Engineering in China, Vol. Edit of 5th March 4am: Thank you for great questions - I am online again, to answer more of them! share. Related: The universe is deterministic, and the most efficient program that computes its entire history is short and fast, which means there is little room for true randomness, which is very expensive to compute. Edits since 9th March: Still working on the long tail of more recent questions hidden further down in this thread ... Edit of 6th March: I'll keep answering questions today and in the next few days - please bear with my sluggish responses. Or as an alternative perspective on this question, what is your most controversial opinion in machine learning? I detect a broader pattern here. Images: http://people.idsia.ch/~juergen/attentive.html,  J. Schmidhuber and R. Huber. More here http://people.idsia.ch/~juergen/computeruniverse.html and here http://www.kurzweilai.net/in-the-beginning-was-the-code. She may not always be the one who popularizes it. asked Dec 13 '16 at 23:59. Training Agents using Upside-Down Reinforcement Learning. In: Sammut C., Webb G.I. As of this writing, the post is still open for questions. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. I must admit that I am not a big fan of Tononi's theory.  J. Schmidhuber and R. Huber. (2009a) Simple algorithmic theory of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes. You can post questions now in advance in this thread.. A key figure in AI in Europe and noted for his quirky sense of humor, Schmidhuber’s ideas and writing have been featured extensively on KurzweilAI. 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