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Will Patrick
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Solve for X 2014: Celebrating and accelerating moonshot pioneers

Last week, Solve for X gathered 60 entrepreneurs and scientists from around the world to discuss 18 moonshot proposals—world-changing projects that work to address a huge problem, suggest a radical solution and use some form of breakthrough technology to make it work. 

For more information about the speakers, the technology and the moonshots, check out the Google blog here:  http://goo.gl/gxmu7s

We'll be exploring the speakers and their #TechMoonshots in more depth over the next few weeks, so stay tuned! 
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<a class='ot-hashtag' href='https://plus.google.com/s/%23hangoutsonair'>#hangoutsonair</a>Margaux Pelen, Xavier Duportet, Kacper Winiarczyk, Charles-Antoine DE LEIRIS, Frank Fonblau, Luc Jodet, Audrey Richard-Laurent, hadrien Baradel, Gabriel Oppetit, David Kreutzer, Armand Ruiz, and Charles de leiris

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cool!
I've recently been working on a project to train very large neural networks with a bunch of colleagues.  In addition to building infrastructure to train very large networks, we've been working to apply them to various application domains.  As part of that work, we've been collaborating with +Vincent Vanhoucke and other members of the speech team at Google to use deep networks in speech recognition.   The blog post linked below gives some details about the system.  

When you use the voice recognition on your Android phone, you're using the results of this collaboration.

We're also applying these networks to other application domains, like image recognition, language modeling and machine translation.  You can read more about our use of these kinds of networks for image recognition here:

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

http://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-learning.html?_r=1

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