<html><body>Google Strength Neural Networks<br>Greg Corrado, Research at Google<br>Monday, November 10, 4:30pm<br>Computer Science 105<br><br>Industrial
scale applications of machine learning are surprisingly important in
the products and services we enjoy today. Over the last few years
classical artificial neural networks have reemerged as one of the most
powerful, practical machine learning tools available. More than it was
driven by algorithmic advances, this “deep learning” renaissance has
been fueled by the availability of ever larger data stores and clever
use of vast computational resources. Greg will describe Google's large
scale distributed neural network framework and the applications of
neural networks to the domains of image recognition, speech recognition,
and text understanding.<br> <br>Greg Corrado is a senior research
scientist at Google working in artificial intelligence, computational
neuroscience, and scalable machine learning. He has worked for some time
on brain inspired computing, and most recently has served as one of the
founding members and a technical lead on Google's large scale deep
learning project. Before coming to Google, he worked at IBM Research on
the SyNAPSE neuromorphic silicon chip. He did his graduate work in
Neuroscience and in Computer Science at Stanford University, and his
undergraduate in work Physics at Princeton University.<br><div id="9fa6274a-1b34-4f45-893b-c0a3fda3060b"><span name="x"></span><br></div><br><div id="9fa6274a-1b34-4f45-893b-c0a3fda3060b"><br><span name="x"></span><br></div><br></body></html>