Craig Reucassel Quotes

Today, there are industries employing hundreds of thousands of engineers creating artificial intelligence.

Once computers can program, they basically take over technological progress because already, today, the majority of technological progress is run by software, by programming.

Computers add convenience to our everyday lives, but we are limited in what we can do with technology others have imagined. The ability for humans to teach machines entirely new things - coding - is nothing short of a superpower.

I got interested in computers and how they could be enslaved to the megalomaniac impulses of a teenager.

Computers, like automobiles and airplanes, do only what people tell them to do.

No more than these machines need the mathematician know what he does.

The basis of computer work is predicated on the idea that only the brain makes decisions and only the index finger does the work.

I've been fascinated with technology since I was a boy banging around on my father's adding machine. Back then I'd type in an equation, the device made some cool noises, and out came my answer. I was hooked.

Computer science is no more about computers than astronomy is about telescopes.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

My background really comes from geekdom and the idea of building a smart machine. If we're going to build a smart machine, let's have it read good books.

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.

I'm not afraid of computers taking over the world.

My work was fairly theoretical. It was in recursive function theory. And in particular, hierarchies of functions in terms of computational complexity. I got involved in real computers and programming mainly by being - well, I was interested even as I came to graduate school.

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

The computer is a moron.

Computers are very powerful tools, but in the simulated world of the computer, everything has to be calculated.

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.

The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer.

Artificial intelligence is always 20 years away.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

Coding is like writing, and we live in a time of the new industrial revolution. What's happened is that maybe everybody knows how to use computers, like they know how to read, but they don't know how to write.

When you program a robot to be intelligent, you learn a number of things. You become very humble and develop enormous respect for natural intelligence because, even if you work day and night for several years, your robot isn't that smart after all.

Machine learning is the most popular course for people from India. There is a window of time when India can embrace and capture a large fraction of the AI opportunity. But it will not remain open for ever.

Whether you're looking at manufacturing and the use of robotics or the knowledge industries, they need computer programmers.