Quoc V. Le (http://ai.stanford.edu/~quocle/) of Stanford and Google did a talk today at Univ. of Washington:

  "Scaling deep learning to 10,000 cores and beyond":
  Presentation Univ. of Washington (March 14, 2013)
  https://www.cs.washington.edu/htbin-post/mvis/mvis?ID=1338

You can see one of Quoc's previous talks online:

"Tera-scale deep learning: - Quoc V. Le from ML Lunch @ CMU http://vimeo.com/52332329

You may remember Jeff Dean's (http://research.google.com/pubs/jeff.html) post on this: https://plus.google.com/118227548810368513262/posts/PozFb134...

The corresponding research at Google...

"Building high-level features using large scale unsupervised learning"

http://research.google.com/pubs/pub38115.html

http://research.google.com/archive/unsupervised_icml2012.htm...

Previous HN discussion: https://news.ycombinator.com/item?id=4145558

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