There's a lot of work in machine learning systems that is not actually machine learning. — Jeff Dean Actually Copy Share Image
In Google data centers, our energy usage throughout the year for all our computing needs is 100 percent renewable. — Jeff Dean Climate Copy Share Image
Deep learning is a really powerful metaphor for learning about the world. — Jeff Dean About Copy Share Image
I am concerned in general about carbon emissions and machine learning. — Jeff Dean Carbon Copy Share Image
Microsoft is in a lot of the same businesses that Google is in. — Jeff Dean Business Copy Share Image
It's important to engage with governments around the world in how they're thinking about AI - to help inform them. — Jeff Dean AI Copy Share Image
It's pretty clear that machine learning is going to a big part of science and engineering. — Jeff Dean Artificial intelligence Copy Share Image
It would be great to have every engineer have at least some amount of knowledge of machine learning. — Jeff Dean Artificial intelligence Copy Share Image
Traditionally computers have not been that good at interacting with people in ways that people feel natural interacting with. — Jeff Dean Computers 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 Around the world Copy Share Image
A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how… — Jeff Dean Education 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… — Jeff Dean Autonomous Copy Share Image
We have a lot of work to do to get really important useful capabilities into people's hands - self-driving cars are going… — Jeff Dean Cars Copy Share Image
The things that I really enjoy doing are finding interesting problems and working together with colleagues to figure out how we can… — Jeff Dean Problems Copy Share Image
I tend to be very impatient, thinking about all the ways we can do something, my mind and hands spinning at a… — Jeff Dean Fast Copy Share Image
I think really what cloud customers care about is, can they get their problem solved on any particular provider's cloud products? — Jeff Dean Care Copy Share Image
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really… — Jeff Dean Building Copy Share Image
I like working in small teams where people on the team have very different skills than what I have and that banter… — Jeff Dean Ability Copy Share Image
Vision I think is going to be an important input. Like, if you're using Google Glass, it's going to be able to… — Jeff Dean Dreams Copy Share Image
The idea behind reinforcement learning is you don't necessarily know the actions you might take, so you explore the sequence of actions… — Jeff Dean Game Copy Share Image
I think there are sometimes issues with - no matter where you put a conference, there's always going to be constraints on… — Jeff Dean Go Copy Share Image
If you only have 10 examples of something, it's going to be hard to make deep learning work. If you have 100,000… — Jeff Dean Deep 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 Better Copy Share Image
Machine learning is a new way of creating problem solving. — Jeff Dean Artificial intelligence Copy Share Image
Deep neural networks are responsible for some of the greatest advances in modern computer science. — Jeff Dean Computer science Copy Share Image
We want to build systems that can generalize to a new task. Being able to do things with much less data and… — Jeff Dean Being Copy Share Image
In order to reason, you need a network to be able to bring in knowledge from several different areas, such as math,… — Jeff Dean Knowledge 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 Always Copy Share Image
Very simple techniques, when you have a lot of data, work incredibly well. — Jeff Dean Data Copy Share Image
We have way more unsupervised data in the world than supervised data. — Jeff Dean Data Copy Share Image
Understanding language is core to a lot of Google products such as Gmail. — Jeff Dean Core Copy Share Image
Computers can see, and understand what people say via speech recognition. — Jeff Dean Communication Copy Share Image
Health care has a lot of interesting machine-learning problems - outpatient outcomes, or when you have x-ray images and you want to… — Jeff Dean Health Copy Share Image
The healthcare space is a very complicated one for a variety of reasons: It's much more regulated than some other kinds of… — Jeff Dean Complicated Copy Share Image
Transportation, with self-driving vehicles, is going to be a big use of machine learning. — Jeff Dean Artificial intelligence Copy Share Image
I think multimodal kinds of models are pretty interesting - like can you combine text with imagery or audio or video in… — Jeff Dean Audio Copy Share Image
If you pass a lot of data through a teeny network, like 20 neurons, it'll do what it can, but it's not… — Jeff Dean Data Copy Share Image
There's nothing like necessity of needing to do something to cause you to come up with abstractions that help you break through… — Jeff Dean Abstractions Copy Share Image
