A Quote by Peter Levine

A self-driving car will have 200-plus CPUs. That's a data center on wheels. — © Peter Levine
A self-driving car will have 200-plus CPUs. That's a data center on wheels.
The self-driving car is coming. And right now, our best supply of organs come from car accidents... Once we have self-driving cars, we can actually reduce the number of accidents, but the next problem then would be organ replacement.
Self-driving cars will enable car-sharing even in spread-out suburbs. A car will come to you just when you need it. And when you are done with it, the car will just drive away, so you won't even have to look for parking.
Humans are unbelievably data efficient. You don't have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles.
The self driving car is not self-aware. It's just driving; it's not thinking.
While I'm driving, I've got speed, gear, lap time, water temperature, blood sugar, RPM, oil pressure. I've got car data and body data all together. It's all on the dash.
Driving a race car isn't too far a cry from driving any other sports car, but driving one through Africa in the middle of the night offers a wide scree of new sensations.
We have spent so much time worrying about a 'cyber Pearl Harbor,'' the attack that takes out the power grid, that we have focused far too little on the subtle manipulation of data that can mean that no election, medical record, or self-driving car can be truly trusted.
The self-driving car revolution was kicked off by The 'DARPA' Grand Challenge to make an autonomous car traverse 132 mi. of a desert.
Take the self-driving car and the smartphone and put those together and think about how to manage a smart grid because suddenly you have all of this data coming from those two mechanisms that allow for a much higher level of allocating energy much more efficiently.
We don't let a car company just throw out a car and start driving it around without checking that the wheels are fastened on. We know that would result in death; but for some reason we have no hesitation at throwing out some algorithms untested and unmonitored even when they're making very important life-and-death decisions.
If you look at the ability of a self-driving car to stay in the lane and not to speed and keep a good distance to the car in front of you, it actually does better than me.
If you recognize that self-driving cars are going to prevent car accidents, AI will be responsible for reducing one of the leading causes of death 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.
Honestly, the average American spends about 52 minutes a day in commute traffic. And as much as I love driving my car and many people like driving their car, commuting has never been fun for me.
Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
In a rabbit-fear I may hurl myself under the wheels of the car because the lights terrify me, and under the dark blind death of wheels I will be safe. I am very tired, very banal, very confused. I do not know who I am tonight. I wanted to walk until I dropped and not complete the inevitable circle of coming home.
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