Mina Sedaghat, Eddie Wadbro, John Wilkes, Sara De Luna, Oleg Seleznjev, Erik Elmroth
International Symposium on Cluster, Cloud and Grid Computing (CCGrid), IEEE/ACM, Cartagena, Colombia (2016), pp. 52-59
Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané
arXiv preprint arXiv:1606.06565 (2016)
Calculus on Computational Graphs: Backpropagation
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Google is a fantastic place to do research. The ability to work on really interesting problems, with excellent colleagues (whose expertise is often very complementary to your own), and to have your research impact billions of users every day is incredibly exciting.
I'm at Google because that's where the data is, and the means to use it. This makes it possible to do great work at scale. In the end, the reason for doing the work is to create something useful that helps people, and Google makes it easy for researchers to roll out products that will help hundreds of millions of people.
The raw computation power available at Google is just incredible - we can do research on a scale that was unimaginable to me in academia, and work on problems that no one else is even thinking of.