A Quote by Jeff Dean

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 query. — © Jeff Dean
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 query.
Deep learning is already working in Google search and in image search; it allows you to image-search a term like 'hug.' It's used to getting you Smart Replies to your Gmail. It's in speech and vision. It will soon be used in machine translation, I believe.
My personal challenge is always balance. My life has a lot of compartments to it, and I care about each of them deeply. So I wake up each day thinking, 'How am I going to balance today?'
I'm trying to find the balance and do, like, 'Spanglish' music or some songs in Spanish and others in English or do a translation.
I am not concerned with simply surviving. I am very concerned about improving. I start each day by examining yesterday's work and looking for areas where I can improve. I am always trying to draw the characters better, and trying to design each panel somewhat in the manner a painter would treat his canvas.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
Low income persons in need of social housing should be housed in more prosperous areas to avoid placing an extra burden on the poorer areas and to redress the balance in terms of housing, redressing the balance in terms of schooling.
I think as more people use the phones to access the Internet, they have a lot less patience for trying to find things on the search engines. That is because you need to figure a lot of things out for search to work.
It's not a query of staying wholesome. It's a query of discovering a illness you want.
We know that Google Earth and Google Maps have had a tremendous impact on Google traffic, users, brand, adoption, and advertisers. We also know Google News, for example, which we don't monetize, has had a tremendous impact on searches and on query quality. We know those people search more. Because we've measured it.
We were doing something called telemedicine, where we were using the ultrasound. One interesting application of this ultrasound is the possibility that you could possibly use it to measure critical bone areas during a long space mission and track if you're losing bone in these areas. On Earth, when they check you for bone loss, you get in this big machine. It's the size of a room and it's got a platform with an x-ray that scans your whole body and in critical areas and it takes a while and it just wouldn't be practical to have a machine like that in space.
There are a lot of companies - not just Sony and Kodak - that have spent a lot of money trying to make the quality of the digital images comparable with film. But when you're sending these things over the Internet, they don't have to be high quality.
In translation studies we talk about domestication - translation styles that make something familiar - or estrangement - translation styles that make something radically different. I use a lot of both in my translation, and modernism does both. For instance, if you look at the way James Joyce presents Ulysses, is that domesticating a classic? Think of it as an experiment in relation to a well-known text in another language.
Good character consists of recognizing the selfishness that inheres in each of us and trying to balance it against the altruism to which we should all aspire. It is a difficult balance to strike, but no definition of goodness can be complete without it.
Users are trying to discover apps; we are trying to improve the app discovery process, and developers are trying to reach users. If you step back, it's a problem we solved with search and ads in search.
Competitors argue that Google rigs its search algorithms to demote listings for competing search engines. Many of the allegations of demotion come generally from sites of pretty questionable quality, such as Nextag and Foundem. Some of Google's primary competitors in 'specialized search' clearly place well in search results - Amazon and Yelp.
'S.N.L.' has become what it was always trying to make fun of. It's become this big machine. I don't want to be plugged into a machine.
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