Frans van Houten Quotes

I've always been very interested in the question of how computation can fundamentally advance the things that we can see. This led me to have a fascination with medical imaging, especially things like MRI and scanning, and eventually computer graphics.

When you use Google, do you get more than one answer? Of course you do. Well, that's a bug. We have more bugs per second in the world. We should be able to give you the right answer just once. We should know what you meant.

People are good at figuring out what's attractive, and computers are good at quickly searching and finding. You put them together, and bang!

Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.

We think machine learning, as it relates to healthcare and life sciences, is extraordinary.

Human players have their strengths and weaknesses and Watson is the same way. He just has different strengths and weaknesses than most people.

Traditionally, images have functioned as representations of something in the world, but we are quickly approaching the point where vast majority of images are produced for other machines, and no human being will ever see them.

I think the way we're doing computer vision is just wrong.

My Ph.D. is in computer vision and machine learning. I developed software that can read your emotions from your face as part of my doctorate work.

I think the automation of vision is a much bigger deal than the invention of perspective.

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.

We often attribute 'understanding' and other cognitive predicates by metaphor and analogy to cars, adding machines, and other artifacts, but nothing is proved by such attributions.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

Yes, iD is a machine vision and sensor browser for the physical world. That's what we have been working on with Coca-Cola, Verizon, Bank of America and Disney to launch content when an image is recognised.

The purpose of computing is insight, not numbers.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

You never know, the way technology is going, we might all use the games for scouting by the time I retire.

If computers remain far worse than us at image recognition, a certain over-confident combination of man and machine can elsewhere take inaccuracy to a whole new level.

Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.

Some time ago, I investigated the possibility that a computer might be able to reconstruct a picture from sets of very accurate X-ray measurements taken through the body at a multitude of different angles.

One thing that humans still do better than computers is recognize images.

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.

Computations are everywhere, once you begin to look at things in a certain way.

When human judgment and big data intersect there are some funny things that happen.

With the release of the Dragon sensor... I have finished my mission. I am done posting. I will no longer be the face of Red.