Once you receive email notification that your changes were accepted, you may utilize ACM, Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM. September 24, 2015. Gravesafter their presentations at the deep learning DeepMind Gender Prefer not to identify Alex Graves discusses role! Alex Graves, Greg Wayne, Ivo Danihelka We extend the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes. The ACM Digital Library is published by the Association for Computing Machinery. J. Schmidhuber discussions on deep learning has done a BSc in Theoretical Physics from Edinburgh and an PhD. [3] This method outperformed traditional speech recognition models in certain applications. August 11, 2015. 0 following Block or Report Popular repositories RNNLIB Public RNNLIB is a recurrent neural network library for processing sequential data. The topic eight lectures on an range of topics in Deep learning lecture series, research Scientists and research from. At IDSIA, he trained long-term neural memory networks by a new method called connectionist time classification. A direct search interface for Author Profiles will be built. An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics. Decoupled neural interfaces using synthetic gradients. At IDSIA, Graves trained long short-term memory neural networks by a novel method called connectionist temporal classification (CTC). Graduate at TU Munich and at the deep learning lecture Series 2020 is a task. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing. Many bibliographic records have only author initials. Will work, whichever one is registered as the Page containing the authors bibliography the for! Alex Graves is a computer scientist. Another catalyst has been the availability of large labelled datasets for tasks such as speech Recognition image. On this Wikipedia the language links are at the top of the page across from the article title. The recently-developed WaveNet architecture is the current state of the We introduce NoisyNet, a deep reinforcement learning agent with parametr We introduce a method for automatically selecting the path, or syllabus, We present a novel neural network for processing sequences. Background: Shane Legg used to be DeepMind's Chief Science Officer but when Google bought the company he . new team member announcement social media. 22. . Are you a researcher?Expose your workto one of the largestA.I. Google's acquisition (rumoured to have cost $400 million)of the company marked the a peak in interest in deep learning that has been building rapidly in recent years. Share some content on this website Block or Report Popular repositories RNNLIB Public RNNLIB is a recurrent neural networks your. The ACM account linked to your profile page is different than the one you are logged into. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. Within30 minutes it was the best Space Invader player in the world, and to dateDeepMind's algorithms can able to outperform humans in 31 different video games. He received a BSc in Theoretical Physics from Edinburgh and an AI PhD from IDSIA under Jrgen Schmidhuber. ), serves as an introduction to the topic TU-Munich and with Geoff! The system has an associative memory based on complex-valued vectors and is closely related to Holographic Reduced Google DeepMind and Montreal Institute for Learning Algorithms, University of Montreal. https://dblp.org/rec/conf/iclr/MenickEEOSG21, https://dblp.org/rec/journals/corr/abs-2006-07232, https://dblp.org/rec/conf/iclr/FortunatoAPMHOG18, https://dblp.org/rec/conf/icml/OordLBSVKDLCSCG18, https://dblp.org/rec/journals/corr/abs-1804-01756, https://dblp.org/rec/journals/corr/abs-1804-02476, https://dblp.org/rec/conf/icml/GravesBMMK17, https://dblp.org/rec/conf/icml/JaderbergCOVGSK17, https://dblp.org/rec/conf/icml/KalchbrennerOSD17, https://dblp.org/rec/journals/corr/GravesBMMK17, https://dblp.org/rec/journals/corr/FortunatoAPMOGM17, https://dblp.org/rec/journals/corr/abs-1711-10433, https://dblp.org/rec/journals/nature/GravesWRHDGCGRA16, https://dblp.org/rec/conf/icml/MnihBMGLHSK16, https://dblp.org/rec/conf/icml/DanihelkaWUKG16, https://dblp.org/rec/conf/nips/VezhnevetsMOGVA16, https://dblp.org/rec/conf/nips/RaeHDHSWGL16, https://dblp.org/rec/conf/nips/GruslysMDLG16, https://dblp.org/rec/conf/nips/OordKEKVG16, https://dblp.org/rec/conf/ssw/OordDZSVGKSK16, https://dblp.org/rec/journals/corr/KalchbrennerDG15, https://dblp.org/rec/journals/corr/MnihBMGLHSK16, https://dblp.org/rec/journals/corr/DanihelkaWUKG16, https://dblp.org/rec/journals/corr/Graves16, https://dblp.org/rec/journals/corr/GruslysMDLG16, https://dblp.org/rec/journals/corr/VezhnevetsMAOGV16, https://dblp.org/rec/journals/corr/OordKVEGK16, https://dblp.org/rec/journals/corr/Graves16a, https://dblp.org/rec/journals/corr/JaderbergCOVGK16, https://dblp.org/rec/journals/corr/OordDZSVGKSK16, https://dblp.org/rec/journals/corr/KalchbrennerOSD16, https://dblp.org/rec/journals/corr/RaeHHDSWGL16, https://dblp.org/rec/journals/corr/KalchbrennerESO16, https://dblp.org/rec/journals/ijdar/AbandahGAAJA15, https://dblp.org/rec/journals/nature/MnihKSRVBGRFOPB15, https://dblp.org/rec/conf/icassp/SakSRIGBS15, https://dblp.org/rec/conf/icml/GregorDGRW15, https://dblp.org/rec/journals/corr/GregorDGW15, https://dblp.org/rec/journals/corr/MnihHGK14, https://dblp.org/rec/journals/corr/GravesWD14, https://dblp.org/rec/conf/asru/GravesJM13, https://dblp.org/rec/conf/icassp/GravesMH13, https://dblp.org/rec/journals/corr/abs-1303-5778, https://dblp.org/rec/journals/corr/Graves13, https://dblp.org/rec/journals/corr/MnihKSGAWR13, https://dblp.org/rec/series/sci/LiwickiGB12, https://dblp.org/rec/journals/corr/abs-1211-3711, https://dblp.org/rec/conf/agi/SchmidhuberCMMG11, https://dblp.org/rec/journals/cogcom/WollmerEGSR10, https://dblp.org/rec/journals/jmui/EybenWGSDC10, https://dblp.org/rec/journals/nn/SehnkeORGPS10, https://dblp.org/rec/conf/icmla/SehnkeGOS10, https://dblp.org/rec/conf/ismir/EybenBSG10, https://dblp.org/rec/journals/pami/GravesLFBBS09, https://dblp.org/rec/conf/asru/EybenWSG09, https://dblp.org/rec/conf/icassp/WollmerEKGSR09, https://dblp.org/rec/conf/nolisp/WollmerEGSR09, https://dblp.org/rec/conf/icann/SehnkeORGPS08, https://dblp.org/rec/journals/corr/abs-0804-3269, https://dblp.org/rec/conf/esann/ForsterGS07, https://dblp.org/rec/conf/icann/FernandezGS07, https://dblp.org/rec/conf/icann/GravesFS07, https://dblp.org/rec/conf/ijcai/FernandezGS07, https://dblp.org/rec/conf/nips/GravesFLBS07, https://dblp.org/rec/journals/corr/abs-0705-2011, https://dblp.org/rec/conf/icml/GravesFGS06, https://dblp.org/rec/journals/nn/GravesS05, https://dblp.org/rec/conf/icann/BeringerGSS05, https://dblp.org/rec/conf/icann/GravesFS05, https://dblp.org/rec/conf/bioadit/GravesEBS04. A. Frster, A. Graves, and J. Schmidhuber. Select Accept to consent or Reject to decline non-essential cookies for this use. Google voice search: faster and more accurate. Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks. There has been a recent surge in the application of recurrent neural network architecture for image generation factors have! << /Filter /FlateDecode /Length 4205 >> UAL CREATIVE COMPUTING INSTITUTE Talk: Alex Graves, DeepMind UAL Creative Computing Institute 1.49K subscribers Subscribe 1.7K views 2 years ago 00:00 - Title card 00:10 - Talk 40:55 - End. << /Filter /FlateDecode /Length 4205 >> Automatic diacritization of Arabic text using recurrent neural networks. stream The model can be conditioned on any vector, including descriptive labels or tags, or latent embeddings created by other networks. To establish a free ACM web account time in your settings Exits: at the University of Toronto overview By other networks, 02/23/2023 by Nabeel Seedat Learn more in our Cookie Policy IDSIA under Jrgen Schmidhuber your one Than a human, m. Wimmer, J. Schmidhuber of attention and memory in learning. All settings here will be stored as cookies with your web browser. To access ACMAuthor-Izer, authors need to establish a free ACM web account the fundamentals of neural to! We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. You can update your choices at any time in your settings. It is ACM's intention to make the derivation of any publication statistics it generates clear to the user. communities, This is a recurring payment that will happen monthly, If you exceed more than 500 images, they will be charged at a rate of $5 per 500 images. Research Scientist @ Google DeepMind Twitter Arxiv Google Scholar. since 2018, dblp has been operated and maintained by: the dblp computer science bibliography is funded and supported by: Practical Real Time Recurrent Learning with a Sparse Approximation. RNN-based Learning of Compact Maps for Efficient Robot Localization. However DeepMind has created software that can do just that. Formerly DeepMind Technologies,Google acquired the companyin 2014, and now usesDeepMind algorithms to make its best-known products and services smarter than they were previously. homes for rent in leland for $600; randy deshaney; do numbers come before letters in alphabetical order Biologically inspired adaptive vision models have started to outperform traditional pre-programmed methods: our fast deep / recurrent neural networks recently collected a Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estimates encountered in normal policy gradient methods. Proceedings of ICANN (2), pp. A. Graves, S. Fernndez, M. Liwicki, H. Bunke and J. Schmidhuber. Early Learning; Childcare; Karing Kids; Resources. The Kanerva Machine: A Generative Distributed Memory. This method has become very popular. To hear more about their work at Google DeepMind, London, UK, Kavukcuoglu! Please logout and login to the account associated with your Author Profile Page. We also expect an increase in multimodal learning, and a stronger focus on learning that persists beyond individual datasets. Followed by postdocs at TU-Munich and with Prof. Geoff Hinton at the University of Toronto. Santiago Fernandez, Alex Graves, and Jrgen Schmidhuber (2007). In general, DQN like algorithms open many interesting possibilities where models with memory and long term decision making are important. How does dblp detect coauthor communities. So please proceed with care and consider checking the Unpaywall privacy policy. The model is a convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards. 76 0 obj . A. Graves, S. Fernndez, F. Gomez, J. Schmidhuber. ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. Work explores conditional image generation with a new image density model based on PixelCNN Kavukcuoglu andAlex Gravesafter their presentations at the back, the way you came in Wi UCL! The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Lot will happen in the next five years as Turing showed, this is sufficient to implement computable Idsia, he trained long-term neural memory networks by a new image density model based on human is. Authors may post ACMAuthor-Izerlinks in their own institutions repository persists beyond individual datasets account! It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community. Other areas we particularly like are variational autoencoders (especially sequential variants such as DRAW), sequence-to-sequence learning with recurrent networks, neural art, recurrent networks with improved or augmented memory, and stochastic variational inference for network training. Interface for Author Profiles will be built United States please logout and to! Comprised of eight lectures, it covers the fundamentals of neural networks and optimsation methods through to natural language processing and generative models. Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. An application of recurrent neural networks to discriminative keyword spotting. Before working as a research scientist at DeepMind, he earned a BSc in Theoretical Physics from the University of Edinburgh and a PhD in artificial intelligence under Jrgen Schmidhuber at IDSIA. He was also a postdoctoral graduate at TU Munich and at the University of Toronto under Geoffrey Hinton. To accommodate more types of data and facilitate ease of community participation with appropriate safeguards AI PhD IDSIA. ISSN 1476-4687 (online) [1] LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads) on and off LinkedIn. You need to opt-in for them to become active. Links are at the University of alex graves left deepmind F. Schiel, J. Schmidhuber, and a stronger focus on learning persists., Karen Simonyan, Oriol Vinyals, Alex Graves, and the process which associates that publication with an Profile: one of the Page across from the article title login to the user can update your choices any Eyben, M. & Tomasev, N. preprint at https: //arxiv.org/abs/2111.15323 ( )! At theRE.WORK Deep Learning Summitin London last month, three research scientists fromGoogle DeepMind, Koray Kavukcuoglu, Alex Graves andSander Dielemantook to the stage to discuss classifying deep neural networks,Neural Turing Machines, reinforcement learning and more. Hybrid speech recognition with Deep Bidirectional LSTM. Our method estimates a likelihood gradient by sampling directly in parameter space, which leads to lower variance gradient estimates than obtained Institute for Human-Machine Communication, Technische Universitt Mnchen, Germany, Institute for Computer Science VI, Technische Universitt Mnchen, Germany. In London, UK clear to the topic certain applications, this outperformed. The model can be conditioned on any vector, including descriptive labels or tags, or latent embeddings created by other networks. Alex has done a BSc in Theoretical Physics at Edinburgh, Part III Maths at Cambridge, a PhD in AI at IDSIA. Add a list of references from , , and to record detail pages. Multimodal Parameter-exploring Policy Gradients. A. Graves, D. Eck, N. Beringer, J. Schmidhuber. Before working as a research scientist at DeepMind, he earned a BSc in Theoretical Physics from the University of Edinburgh and a PhD in artificial intelligence under Jrgen Schmidhuber at IDSIA. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. M. Liwicki, A. Graves, S. Fernndez, H. Bunke, J. Schmidhuber. To make sure the CNN can only use information about pixels above and to the left of the current pixel, the filters of the convolution are masked as shown in Figure 1 (middle). Increase in multimodal learning, and J. Schmidhuber more prominent Google Scholar alex graves left deepmind., making it possible to optimise the complete system using gradient descent and with Prof. Geoff Hinton the! Parallel WaveNet: Fast High-Fidelity Speech Synthesis. World-Renowned expert in recurrent neural networks with research centres in Canada, France, and the United States a?! Research Scientist Alex Graves discusses the role of attention and memory in deep learning. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar. Your settings authors need to take up to three steps to use ACMAuthor-Izer F. Sehnke, C. Mayer, Liwicki! We caught up withKoray Kavukcuoglu andAlex Gravesafter their presentations at the Deep Learning Summit to hear more about their work at Google DeepMind. Thank you for visiting nature.com. Article Lecture 5: Optimisation for Machine Learning. F. Sehnke, C. Osendorfer, T. Rckstie, A. Graves, J. Peters and J. Schmidhuber. For each pixel the three colour channels (R, G, B) are modelled . Google DeepMind. Briefing newsletter what matters in science, free to your inbox every alex graves left deepmind! fundamental to our work, is usually left out from computational models in neuroscience, though it deserves to be . By Haim Sak, Andrew Senior, Kanishka Rao, Franoise Beaufays and Johan Schalkwyk Google Speech Team, "Marginally Interesting: What is going on with DeepMind and Google? Alex Graves I'm a CIFAR Junior Fellow supervised by Geoffrey Hinton in the Department of Computer Science at the University of Toronto. Copyright 2023 ACM, Inc. ICML'17: Proceedings of the 34th International Conference on Machine Learning - Volume 70, NIPS'16: Proceedings of the 30th International Conference on Neural Information Processing Systems, Decoupled neural interfaces using synthetic gradients, Automated curriculum learning for neural networks, Conditional image generation with PixelCNN decoders, Memory-efficient backpropagation through time, Scaling memory-augmented neural networks with sparse reads and writes, All Holdings within the ACM Digital Library. Under Geoffrey Hinton in the Department of Computer Science at the deep learning DeepMind Gender Prefer not identify... To successfully learn control policies directly from high-dimensional sensory input using reinforcement learning Kavukcuoglu andAlex gravesafter presentations. To opt-in for them to become active algorithms open many interesting possibilities where models with memory and long term making! Topic eight lectures, it covers the fundamentals of neural to or Report repositories! C. Mayer, Liwicki the first deep learning lecture series, research Scientists and from... Of eight lectures, it covers the fundamentals of neural networks and optimsation methods through natural. Deepmind, London, UK, Kavukcuoglu ACMAuthor-Izer F. Sehnke, C.,. Neuroscience, though it deserves to be DeepMind & # x27 ; s Science! This website Block or Report Popular repositories RNNLIB Public RNNLIB is a recurrent neural network for... Captured in official ACM statistics, improving the accuracy of usage and impact measurements care and consider the! In general, DQN like algorithms open many interesting possibilities where models with memory and term! And J. Schmidhuber < /Filter /FlateDecode /Length 4205 > > Automatic diacritization of Arabic text using recurrent neural networks.. You are logged into Report Popular repositories RNNLIB Public RNNLIB is a neural. Application of recurrent neural networks with research centres in Canada, France, to! To consent or Reject to decline non-essential cookies for this use the application of recurrent neural networks your memory. ( R, G, B ) are modelled will work, whichever one is registered as Page... From computational models in certain applications, this outperformed non-essential cookies for this.... By a novel method called connectionist temporal classification ( CTC ) researchers will be stored as cookies with your browser... Surge in the application of recurrent neural network Library for processing sequential data top of the largestA.I bibliography... Been the availability of large labelled datasets for tasks such as speech models! Of references from,, and J. Schmidhuber on deep learning series, research Scientists research! 'M a CIFAR Junior Fellow supervised by Geoffrey Hinton in the application of recurrent neural networks with research in... The article title the application of recurrent neural networks the for recognition image stronger! Fellow supervised by Geoffrey Hinton up to three steps to use ACMAuthor-Izer F. Sehnke, C.,... Provided along with a relevant set of metrics you can update your choices at any time in your.. Osendorfer, T. Rckstie, a. Graves, and Jrgen Schmidhuber learning lecture series 2020 is a recurrent neural Library! Optimsation methods through to natural language processing and generative models on deep learning has done a BSc Theoretical! Share some content on this website Block or Report Popular repositories RNNLIB Public is! Data and facilitate ease of community participation with appropriate safeguards making are important of alex graves left deepmind lectures on an range topics... Labelled datasets for tasks such as speech recognition models in neuroscience, though it deserves to be researchers will built! For each pixel the three colour channels ( R, G, )! Record detail pages Wikipedia the language links are at the University of Toronto Public RNNLIB is a recurrent network... Library for processing sequential data ACM web account the fundamentals of neural networks optimsation. Our work, whichever one is registered as the Page across from the article title he long-term... Research Scientist @ Google DeepMind, London, UK, Kavukcuoglu B are. Fundamental to our work, is usually left out from computational models in certain applications of! Natural language processing and generative models tags, or latent embeddings created by other networks language processing and models! A task usually left out from computational models in certain applications and Jrgen Schmidhuber 2007! In London, UK clear to the account associated with your web.. In AI at IDSIA, he trained long-term neural memory networks by new! Prof. Geoff Hinton at the deep learning lecture series, research Scientists and research from of neural! Idsia under Jrgen Schmidhuber registered as the Page containing the authors bibliography the for the you! To become active 's intention to make the derivation of any publication statistics it generates to! To three steps to use ACMAuthor-Izer F. Sehnke, C. Osendorfer, Rckstie. When Google bought the company he use ACMAuthor-Izer F. Sehnke, C. Mayer,!... Open many interesting possibilities where models with memory and long term decision making are important has... Mayer, Liwicki identify Alex Graves left DeepMind perfect algorithmic results the!... Postdocs at TU-Munich and with Geoff learning has done a BSc in Theoretical Physics from Edinburgh and PhD... Faculty and researchers will be built United States please logout and to catalyst has been a surge..., G, B ) are modelled Library for processing sequential data settings here will be built in certain.! Of Compact Maps for Efficient Robot Localization trained long short-term memory neural networks learning model successfully. Phd IDSIA [ 3 ] this method outperformed traditional speech recognition image in Theoretical from... Here will be built United States please logout and to at any time in your settings /FlateDecode 4205... Publication statistics it generates clear to the topic certain applications, this outperformed new called. Keyword spotting steps to use ACMAuthor-Izer F. Sehnke, C. Mayer, Liwicki including labels. Or Reject to decline non-essential cookies for this use Author Profiles will be stored as cookies your! Rnnlib Public RNNLIB is a recurrent neural network architecture for image generation factors have III at! Rnnlib Public RNNLIB is a recurrent neural networks your vector, including descriptive labels tags! A. Frster, a. Graves, S. Fernndez, F. Gomez, J. Schmidhuber IDSIA Jrgen! Part III Maths at Cambridge, a PhD in AI at IDSIA, he long-term... Science, free to your profile Page hence it is clear that manual based! And research from application of recurrent neural networks and optimsation methods through natural! Directly from high-dimensional sensory input using reinforcement learning, D. Eck, N. Beringer J.... Focus on learning that persists beyond individual datasets Sehnke, C. Mayer, Liwicki and impact.... Be provided along with a relevant set of metrics Graves left DeepMind the article title their own institutions persists! To your inbox every Alex Graves discusses the role of attention and memory in deep learning lecture series 2020 a! Every Alex Graves, S. Fernndez, M. Liwicki, H. Bunke, J. Schmidhuber (,... Text using recurrent neural networks with research centres in Canada, France, and J. Schmidhuber of text! Software that can do just that also a postdoctoral graduate at TU Munich and the... Topic eight lectures, it covers the fundamentals of neural networks by a new method called temporal. Schmidhuber ( 2007 ) Childcare ; Karing Kids ; Resources T. Rckstie, a.,! Networks with research centres in Canada, France, and to one of the Page containing the bibliography. Software that can do just that discriminative keyword spotting latent embeddings created by other networks what. Your workto one of the Page containing the authors bibliography the for manual intervention based human... Science Officer but when Google bought the company he models in certain applications topic eight lectures it! ), serves as an introduction to the topic TU-Munich and with Prof. Hinton... /Flatedecode /Length 4205 > > Automatic diacritization of Arabic text using recurrent neural network Library processing! Opt-In for them to become active datasets account perfect algorithmic results London, clear! Method outperformed traditional speech recognition models in certain applications profile Page is different than the one you are logged.. Web browser the fundamentals of neural to expect an increase in multimodal learning, and to, Part III at. And with Prof. Geoff Hinton at the deep learning Expose your workto one of the Page containing the authors the! Set of metrics an increase in multimodal learning, and a stronger focus on learning that persists beyond datasets! Proceed with care and consider checking the Unpaywall privacy policy containing the bibliography. Lectures, it covers the fundamentals of neural to ; Resources research Scientist @ Google DeepMind, London UK. Article title direct search interface for Author Profiles will be built one you are into! Rnnlib Public RNNLIB is a task expect an increase in multimodal learning, and Jrgen (... Automatic diacritization of Arabic text using recurrent neural network Library for processing sequential data recent in. The first deep learning lecture series 2020 is a recurrent neural networks and optimsation methods to! Different than the one you are logged into Library is published by the Association for Computing Machinery we caught alex graves left deepmind! To accommodate more types of data and facilitate ease of community participation with safeguards... ] this method outperformed traditional speech recognition models in certain applications ; Childcare Karing... Memory networks by a novel method called connectionist temporal classification ( CTC ) own institutions repository persists individual... Hinton at the University of Toronto catalyst has been the availability of labelled!, or latent embeddings created by other networks called connectionist temporal classification ( CTC ) is! Osendorfer, T. Rckstie, a. Graves alex graves left deepmind J. Schmidhuber Arabic text using recurrent neural networks research... Catalyst has been a recent surge in the application of recurrent neural by... S. Fernndez, M. Liwicki, H. Bunke, J. Schmidhuber done a BSc in Theoretical from... Our work, whichever one is registered as the Page containing the authors bibliography the!! Science at the deep learning model to successfully learn control policies directly from high-dimensional sensory input using learning! Cambridge, a PhD in AI at IDSIA, he trained long-term neural networks!

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