A Quote by Kevin Maney

Artificial intelligence uses a complex set of rules - algorithms - to get to a conclusion. A computer has to calculate its way through all those rules, and that takes a lot of processing. So AI works best when a small computer is using it on a small problem - your car's anti-lock brakes are based on AI. Or you need to use a giant computer on a big problem - like IBM using a room-size machine to compete against humans on Jeopardy in 2011.
Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped onto the other (the computer).
Every time you turn on your new car, you're turning on 20 microprocessors. Every time you use an ATM, you're using a computer. Every time I use a settop box or game machine, I'm using a computer. The only computer you don't know how to work is your Microsoft computer, right?
If you've never programmed a computer, you should. There's nothing like it in the whole world. When you program a computer, it does exactly what you tell it to do. It's like designing a machine — any machine, like a car, like a faucet, like a gas-hinge for a door — using math and instructions. It's awesome in the truest sense: it can fill you with awe.
The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game.
I think a nerd is a person who uses the telephone to talk to other people about telephones. And a computer nerd therefore is somebody who uses a computer in order to use a computer.
Manufacturing takes place in very large facilities. If you want to build a computer chip, you need a giant semiconductor fabrication facility. But nature can grow complex molecular machines using nothing more than a plant.
Computer science inverts the normal. In normal science, you're given a world, and your job is to find out the rules. In computer science, you give the computer the rules, and it creates the world.
With the computer and stuff, the difference between a rich guy and a poor guy, to me, is nothing. Because I don't like big houses, I don't drive a car, so you know, I just live in a small apartment and I have my computer, which is really cool.
When I use a direct manipulation system whether for text editing, drawing pictures, or creating and playing games I do think of myself not as using a computer but as doing the particular task. The computer is, in effect, invisible. The point cannot be overstressed: make the computer system invisible.
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.
A smartphone is a computer - it's not built using a computer - the job it does is the job of being a computer. So, everything we say about computers, that the software you run should be free - you should insist on that - applies to smart phones just the same. And likewise to those tablets.
What is the central core of the subject [computer science]? What is it that distinguishes it from the separate subjects with which it is related? What is the linking thread which gathers these disparate branches into a single discipline. My answer to these questions is simple -it is the art of programming a computer. It is the art of designing efficient and elegant methods of getting a computer to solve problems, theoretical or practical, small or large, simple or complex. It is the art of translating this design into an effective and accurate computer program.
In life sciences, we find a reasonable balance between men and women. In engineering and computer science, we have a major problem. A very small percentage of women will be in computer science.
I've never been much of a computer guy at least in terms of playing with computers. Actually until I was about 11 I didn't use a computer for preparing for games at all. I was playing a bit online, was using the chess club mainly. Now, obviously, the computer is an important tool for me preparing for my games.
I do take a computer to do some processing live and I might use a couple of plug-in synthesisers, 'cause obviously you can take quite a lot of power in terms of sound generation on a computer that I can trigger from a couple of keyboards. And it means I don't have to take some of my vintage stuff and have it trashed by various airlines which has happened in the past. But I still take some vintage stuff with me, I'll take that risk because I like using all that stuff.
I use an IBM Thinkpad. I just use it like a typewriter, but when I started using it in 1987, I thought I won't be able to write anymore, so I thought I'd go back to the typewriter. But you couldn't go back to the typewriter after using the computer.
This site uses cookies to ensure you get the best experience. More info...
Got it!