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LBH also have participated in other PR work that has misled many. For example, the narrator of a popular 2018 Bloomberg video[VID2] is thanking Hinton for speech recognition and machine translation, although both were actually done (at production time of the video) on billions of smartphones by deep learning methods developed in my labs in Germany and Switzerland (LSTM & CTC) long before Hinton's
For a while, DanNet enjoyed a monopoly. From 2011 to 2012 it won every contest it entered, winning four of them in a row (15 May 2011, 6 Aug 2011, 1 Mar 2012, 10 Sep 2012).[GPUCNN5] In particular, at IJCNN 2011 in Silicon Valley, DanNet blew away the competition and achieved the first superhuman visual pattern recognition[DAN1] in an international contest. DanNet was also the first deep CNN to win
AI Blog (2023) Search: @SchmidhuberAI What's new? (2021) KAUST (24 papers at NeurIPS 2022) and its environment are now offering enormous resources to advance both fundamental and applied AI research: we are hiring outstanding professors, postdocs, and PhD students. (ERC Grant: Many jobs for PhD students and PostDocs to be hired in 2020. Earlier jobs: 2017, 2016) FAQ in AMA (Ask Me Anything) on red
Critique of Paper by "Deep Learning Conspiracy" (Nature 521 p 436) Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh June 2015 Machine learning is the science of credit assignment. The machine learning community itself profits from proper credit assignment to its members. The inventor of an important method should get credit for inventing it. She may not always be the one who popularizes it. The
Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh 26 February 2015 (updated April 2015) The first four members of DeepMind include two former PhD students of my research group at the Swiss AI Lab IDSIA. Two additional key members of DeepMind also got their PhD degrees in my lab. Nevertheless, I am not quite happy with DeepMind's recent publication in Nature [2], although three of its authors wer
1. Our Open Source RNN & LSTM Software Librairies: Brainstorm; RNNLIB; Pybrain. 2. Upcoming RNN Book 3. Old version of this page (2003) LSTM in Journals: Jürgen Schmidhuber's page on Recurrent Neural Networks (updated 2017) Why use recurrent networks at all? And why use a particular Deep Learning recurrent network called Long Short-Term Memory or LSTM? 12. K. Greff, R. Srivastava, J. Koutnik, B. S
News of August 6, 2017: This paper of 2015 just got the first Best Paper Award ever issued by the journal Neural Networks, founded in 1988. J. Schmidhuber. Deep Learning in Neural Networks: An Overview. Neural Networks, Volume 61, January 2015, Pages 85-117 (DOI: 10.1016/j.neunet.2014.09.003), published online in 2014. Based on Preprint IDSIA-03-14 (88 pages, 888 references): arXiv:1404.7828 [cs.N
Composing Music with LSTM Recurrent Networks - Blues Improvisation Note: This page was created by Schmidhuber's former postdoc Doug Eck (now assistant professor at Univ. Montreal), on the LSTM long time lag project. Here are some multimedia files related to the LSTM music composition project. The files are in MP3 (hi-resolution 128kbps and low resolution 32kbps) and MIDI. A helpful reference docum
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