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Dhyaneshwaran Muralidharan
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Taming Latency Variability and Scaling Deep Learning

Recently, Google Senior Fellow +Jeff Dean presented the talk Taming Latency Variability and Scaling Deep Learning to the San Francisco Bay Area Professional Chapter of the Association for Computing Machinery (http://goo.gl/S3fEcz). Given in two parts, Dean’s talk first covers achieving low latency in shared environments with the goal of improving the overall user experience, e.g. updating the Google search results page as the user is typing.  

In the second part of the talk, starting at the ~20 minute mark, Dean speaks about the efforts in constructing computing systems that are able to automatically generate "understanding" of the raw audio, image, and textual data that is openly available on the Internet, by building high levels of abstraction in an unsupervised manner.    

While human beings are incredibly good at building abstractions, such as the ability to identify an object in an image regardless of its perspective, background, or context in which the image was taken, teaching computers how automatically identify objects in a similar manner is a challenging task.

Watch the video below to learn more about recent efforts in Machine Learning (http://goo.gl/fjw1) via Neural Networks (http://goo.gl/Y6yk), which would allow computers to automatically understand data in a fashion similar to humans.
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See! Macs can support Windows! And, it doesn't even need Parallels! (Sorry +Jej B !) 

This image comes to you from http://imgur.com/WJWRFsF
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A key goal for Ubuntu 13.04 is to get the core of the Ubuntu Desktop running on a Nexus 7 tablet (this work will not involve a special Unity UI for tablet, but focus on getting the core of the Ubuntu Desktop running). Find out more about how you can help with this work, how to install Ubuntu on your Nexus 7, and which sessions we will be having at UDS about this at http://www.jonobacon.org/2012/10/26/ubuntu-core-on-the-nexus-7/
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Wow the Galaxy S4 only has just 8GB free to use out of the 16GB model! Turns out the Nexus 5 and the iPhone have the most space that's actually usable.
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