A Quote by Jeff Dean

Transportation, with self-driving vehicles, is going to be a big use of machine learning. — © Jeff Dean
Transportation, with self-driving vehicles, is going to be a big use of machine learning.
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.
We can't simply dismiss the idea that autonomous vehicles are going to be a big part of our transportation system.
Singapore is likely to be the world's first market for self-driving cars. Commercial services around self-driving vehicles will likely be in Singapore before they are anywhere else in the world.
Well, you can say there is a self driving car. I'm seeing the automation of vehicles. Really, computer-assisted driving. I think that is really interesting to us because we are taking all of the sensors technologies and putting them in cars and making people safer.
We're doing a lot of work on self-driving cars. We do not currently have cars in the U.S., but we plan to, for development and testing. I think we are within striking distance of making self-driving cars a reality, and these would be powered by deep learning.
It's pretty clear that machine learning is going to a big part of science and engineering.
Even before you get to self-driving vehicles, there's just a huge amount of positive things that happen to cities when you do ridesharing.
Natural gas will displace coal in power generation. Getting natural gas into the transportation fleet is harder. It works best for vehicles that work from centralized fueling facilities like trucking fleets or buses and cabs. That is happening. Before it can make big inroads beyond that, infrastructure is going to need to be developed.
Nature is a self-made machine, more perfectly automated than any automated machine. To create something in the image of nature is to create a machine, and it was by learning the inner working of nature that man became a builder of machines.
Americans are driving more in less-efficient vehicles. Sales of sports utility vehicles and pickup trucks have been amazingly strong considering the recession, and low pump prices are keeping people on the roads
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
Transportation is an essential part of our lives, and in New York City where driving is not a viable option most of the time, public transportation and taxis are the only way to get around.
There is no basis for the ardent hopes and positive statements made as to the safe and successful use of the dirigible balloon or flying machine, or both, for commercial transportation or as weapons of war.
Bill Evans described his tunes as vehicles; they are vehicles for self-expression, or expression of the self.
When we look at transportation in America, there's going to be companies like Magic Bus, where you have these private bus fleets. You're going to have carpooling; you're going to have these different types of transportation. It's going to be a full ecosystem, but it's not going to be a winner-takes-all.
Transportation and education are two big ones for me. And transportation is selfishly a big issue for me because I drive these roads every day. My family does.
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