Guido van Rossum Quotes

We think that computer models represent reality especially if we developed the models.

That's the new way - with computers, computers, computers. That's the way we can have the cell survive and get some new information in high resolution. We started about five years ago and, today, I think we have reached the target.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

All physical systems can be thought of as registering and processing information, and how one wishes to define computation will determine your view of what computation consists of.

The Connection Machine was the most powerful supercomputer in the world. It is a complex supercomputer and it will take forever to completely describe how it works.

I wrote a piece of software in 1998 that created fictional weather.

Man-made computers are limited in their performance by finite processing speed and memory. So, too, the cosmic computer is limited in power by its age and the finite speed of light.

There is no physical law precluding particles from being organised in ways that perform even more advanced computations than the arrangements of particles in human brains.

By 2020, most home computers will have the computing power of a human brain. That doesn't mean that they are brains, but it means that in terms of raw processing, they can process bits as fast as a brain can. So the question is, how far behind that is the development of a machine that's as smart as we are?

Synths are a very low level of artificial intelligence. Whereas you have a Stradivarius that will live for a thousand years.

My earlier exposure to physics certainly helped me in the use of biophysical techniques like crystallography, the use of computing, calculations, etc.

The computer is not, in our opinion, a good model of the mind, but it is as the trumpet is to the orchestra - you really need it. And so, we have very massive simulations in computers because the problem is, of course, very complex.

With the advent of computing, human invention crossed a threshold into a world different from everything that came before. The computer is the universal machine almost by definition, machine-of-all-trades, capable of accomplishing or simulating just about any task that can be logically defined.

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

We're going to be able to ask our computers to monitor things for us, and when certain conditions happen, are triggered, the computers will take certain actions and inform us after the fact.

I don't think there's anything unique about human intelligence.

My car and my adding machine understand nothing: they are not in that line of business.

Computers have proved to be formidable chess players. In fact, they've beaten our top human chess champions.

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.

We can make life in the computer. Granted, it's limited, but we have learned what it takes in order to actually construct it.

So the thing I realized rather gradually - I must say starting about 20 years ago now that we know about computers and things - there's a possibility of a more general basis for rules to describe nature.

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.

Artifical Intellegence is the most important of the coming technologies. Whoever can crack that will have a company worth 10 Microsofts.

Biotech 1.0 is slow, like a lab science, and Version 2.0 is more like computational sciences.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.