Another success news about the deep learning, now deep learning is in MIT Tech Review’s list of top-10 breakthrou
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Previously in this blog, we have mentioned that Baidu (a dominant search engine in China) is opening Institute of Deep Learning. According to a recent news in Wired, Baidu has opened its research facility on Deep Learning in Silicon Valley at San Francisco Cupertino. In this lab Kai Yu is going to lead the speech and image recognition team. Google acquired the new startup, DNNResearch, established by Geoffrey Hinton and his two graduate students Ilya Sutskever and Alex Krishevsky. The same team won the Imagenet Challenge in 2012. Hinton and his team is going to focus on improving the Deep Learning applications already being used by Google. As part of his new job, G. Hinton is going to stay with U. Toronto, splitting his time between Google and his duties at the University of Toronto, while Krizhevsky and Sutskever fly south to work at Google’s Mountain View, California campus.
Sources: http://thenextweb.com/google/2013/03/12/google-acquires-canadian-neural-networks-startup-dnnresearch-aims-to-improve-image-and-voice-search/ http://www.wired.com/wiredenterprise/2013/03/google_hinton/ https://plus.google.com/u/0/102889418997957626067/posts/GWe4AscQdS7 A workshop on Deep Learning for Audio, Speech and Language Processing will be held June 16th, 2013 in Atlanta, Georgia. This is right after HLT-NAACL and before ICML, both of which are in Atlanta. Deep learning techniques have enjoyed enormous success in the speech and language processing community over the past few years, beating previous state-of-the-art approaches to acoustic modeling, language modeling, and natural language processing. The focus of this workshop will be on deep learning approaches to problems in audio, speech, and language. Talks and papers on new models and learning algorithms that can address some of the challenges of these tasks, such as their inherent temporal structure or the need to handle very large data sets, but that have not yet been applied to audio, speech, or language, are encouraged. The goal of this workshop is to provide a uniquely focused forum for the discussion of the intersection of fields of deep learning and audio, speech, and language, bringing together researchers to investigate some of these novel deep learning techniques, and discuss how they can be incorporated into audio, speech, and language processing. This one-day workshop will include a mixture of invited talks, contributed talks, and poster sessions. One goal in selecting both invited and contributed talks will be to cover a broad range of subjects pertinent to the workshop theme, because we believe that an important role of these workshops is the promotion of cross-pollination between fields. Please visit the following website for more information: https://sites.google.com/site/deeplearningicml2013/ Organizers: Brian Kingsbury, IBM, Tara Sainath, IBM, Li Deng, Microsoft, Andrew Senior, Google Papers submitted to ICLR 2013 conference are open to public discussion. Please feel free to add your comments and share your thoughts about the papers. Link. Yann LeCun posted links for the NIPS 2012 deep learning related talks. You can reach his post from here. ICLR 2013 paper submissions are now available on the new open reviewing platform: openreview. The Chinese Internet company will set up its Institute of Deep Learning later this year to focus its research on developing and enhancing its current web services via deep learning techniques. Source: ZD-Net Emerging Tech News For the ones who couldn’t attend NIPS 2012, Kevin Duh made an informative summary of NIPS 2012 Deep Learning related events, presentations and papers in his google+ page. Yoshua Bengio’s Google tech talk about Deep Learning Representations at Google Montreal on 11/13/2012 is now on youtube Google Tech Talks Channel. |
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