The most interesting bit for me is at the end of another blog entry:

http://blogs.technet.com/b/inside_microsoft_research/archive...

"An intern at Microsoft Research Redmond, George Dahl, now at the University of Toronto,

http://www.cs.toronto.edu/~gdahl/

contributed insights into the working of DNNs and experience in training them. His work helped Yu and teammates produce a paper called Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition.

http://research.microsoft.com/pubs/144412/DBN4LVCSR-TransASL...

In October 2010, Yu presented the paper during a visit to Microsoft Research Asia. Seide was intrigued by the research results, and the two joined forces in a collaboration that has scaled up the new, DNN-based algorithms to thousands of hours of training data."