There's a lot of work in machine learning systems that is not actually machine learning. — Jeff Dean Copy Share Image
It's pretty clear that machine learning is going to a big part of science and engineering. — Jeff Dean Copy Share Image
Deep neural networks are responsible for some of the greatest advances in modern computer science. — Jeff Dean Copy Share Image
Computers can see, and understand what people say via speech recognition. — Jeff Dean Copy Share Image
Traditionally computers have not been that good at interacting with people in ways that people feel natural interacting with. — Jeff Dean Copy Share Image
Definitely there's growing use of machine learning across Google products, both data-center-based services, but also much more of our stuff is running… — Jeff Dean Copy Share Image
There's a lot of potential for machine learning all around the world. We're seeing it in academia, at other companies, in government. — Jeff Dean Copy Share Image
Some things are easier to parrellelize than others. It's pretty easy to train up 100 models and pick the best one. If… — Jeff Dean Copy Share Image
In a lot of these areas, from machine translation to search quality, you're always trying to balance what you can do computationally… — Jeff Dean Copy Share Image
As devices continue to shrink and voice recognition and other kinds of alternative user-interfaces become more practical, it is going to change… — Jeff Dean Copy Share Image
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire… — Jeff Dean Copy Share Image
I think that is one of the main goals of pushing forward in machine learning: having computers provide the wisdom that a… — Jeff Dean Copy Share Image
Computers don't usually have a sense of if you have a picture of something what is in that image. And if we… — Jeff Dean Copy Share Image
As a society I think we are going to be much better off by having machines that can work in conjunction with… — Jeff Dean Copy Share Image
People in my organization were very outspoken about what we should be doing with the Department of Defense. One of them is work on… — Jeff Dean Copy Share
Vision I think is going to be an important input. Like, if you're using Google Glass, it's going to be able to look around… — Jeff Dean Copy Share
We have a lot of work to do to get really important useful capabilities into people's hands - self-driving cars are going to save… — Jeff Dean Copy Share
I think really what cloud customers care about is, can they get their problem solved on any particular provider's cloud products? — Jeff Dean Copy Share
I think there are sometimes issues with - no matter where you put a conference, there's always going to be constraints on that. For… — Jeff Dean Copy Share
The things that I really enjoy doing are finding interesting problems and working together with colleagues to figure out how we can solve them. — Jeff Dean Copy Share
The idea behind reinforcement learning is you don't necessarily know the actions you might take, so you explore the sequence of actions you should… — Jeff Dean Copy Share
I tend to be very impatient, thinking about all the ways we can do something, my mind and hands spinning at a very fast… — Jeff Dean Copy Share
It's important to engage with governments around the world in how they're thinking about AI - to help inform them. — Jeff Dean Copy Share
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component… — Jeff Dean Copy Share
I like working in small teams where people on the team have very different skills than what I have and that banter back and… — Jeff Dean Copy Share
It would be great to have every engineer have at least some amount of knowledge of machine learning. — Jeff Dean Copy Share
In a lot of these areas, from machine translation to search quality, you're always trying to balance what you can do computationally with each… — Jeff Dean Copy Share
