Peter Levine Quotes

The first autonomous cars date back to the late 20th century. But recent increases in sophistication and reductions in cost - reflected, for example, in cheap LIDAR systems, which can 'see' a street in 3D in a way similar to that of the human eye - are now bringing autonomous cars closer to the market.

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.

Eventually, all cars are going to be autonomous.

I'm a firm believer that autonomous driving is coming.

I'm not so keen on letting my car drive itself.

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.

The self-driving car revolution was kicked off by The 'DARPA' Grand Challenge to make an autonomous car traverse 132 mi. of a desert.

To make a vehicle autonomous, you need to gather massive streams of data from loads of sensors and cameras and process that data on the fly so that the car can 'see' what's around it.

All the technology going into self-driving cars is robotic technology. It's not automotive. That explains why some of the traditional automotive players didn't develop this technology.

He's computerized, but I won't let him come on cold. I created KITT. I understand the personality of the car.

My opinion is it's a bridge too far to go to fully autonomous cars.

The capacity of computers is doubling every eight months. It's exponential development. I think it's a real threat, actually, that a computer one day will be more intelligent than us.

It would appear that we have reached the limits of what it is possible to achieve with computer technology, although one should be careful with such statements, as they tend to sound pretty silly in 5 years.

Some Google employees have their self-driving vehicles take them to work. These car robots don't look like something from 'The Jetsons'; the driverless features on these cars are a bunch of sensors, wires, and software. This technology 'works.'

I have been spending the better part of my professional life trying to create self-driving cars. At Google, I am working with a world-class team of engineers to turn science fiction into reality.

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.

Driverless cars are coming to your street - the only question is, 'When?'

Google was the right place to pioneer robot cars.

I think it's very clear now that we will have self-driving cars.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

Computers are the most powerful tools that humanity has ever created. Yet, we treat them largely as a black box; as if it were an alien artifact that magically appeared on desks, in homes, and in our pockets.

Even if we wanted to imbue an autonomous vehicle with an ethical engine, we don't have the technical capability today to do so.

I want to build the next CNN with 'VICE' - it's within my grasp.

Did Google need to make robot cars in order to make Streetview work? Absolutely not. It's the equivalent of saying you need a walking robot in order to push an upright vacuum cleaner. It's gratuitous robotics!

Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.