A Quote by Tony Hoare

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 the early 1970s, I headed to graduate school at the University of Utah and joined the pioneering program in computer graphics because I realized that's where I could combine my interests in art and computer science.
It's funny, because I'm so associated with digital art and computer art, and yet I spend so little time in front of the computer.
In view of all the deadly computer viruses that have been spreading lately, Weekend Update would like to remind you: when you link up to another computer, you're linking up to every computer that that computer has ever linked up to.
One might say the computer is being used to program the child. In my vision, the child programs the computer, and in doing so, both acquires a sense of mastery over a piece of the most modern and powerful technology and establishes an intense contact with some of the deepest ideas from science, from mathematics, and from the art of intellectual model building.
3D is like a computer. Every six months that computer that was state of the art is now obsolete.
I wanted to get into art. I did some neon stuff. I worked in, not computer-generated, but computer manipulation of pictures.
What the computer can do in art and design has turned aesthetics on its head... with the computer, things are not so much created as they are produced, with the producer-director becoming the star and the controlling force of much that was in other hands at other times.
I studied Computer Science when I was in my undergrad and minored in Digital Art & Design.
Software Engineering is that part of Computer Science which is too difficult for the Computer Scientist.
The personal computer was a disruptive innovation relative to the mainframe because it enabled even a poor fool like me to have a computer and use it, and it was enabled by the development of the micro processor. The micro processor made it so simple to design and build a computer that IB could throw in together in a garage. And so, you have that simplifying technology as a part of every disruptive innovation. It then becomes an innovation when the technology is embedded in a different business model that can take the simplified solution to the market in a cost-effective way.
I don't know why a computer game can't be an art form just as a puppet show or an opera is. I'm still interested in computer games as something I would like to work on someday.
Imagine you are writing an email. You are in front of the computer. You are operating the computer, clicking a mouse and typing on a keyboard, but the message will be sent to a human over the internet. So you are working before the computer, but with a human behind the computer.
The key questions will be: Are you good at working with intelligent machines or not? Are your skills a complement to the skills of the computer, or is the computer doing better without you? Worst of all, are you competing against the computer?
My first introduction to computers and computer programming came during my freshman year of college. I majored in electrical engineering with a minor in computer science, so I learned during my required courses at Vanderbilt University.
I think the brain is essentially a computer and consciousness is like a computer program. It will cease to run when the computer is turned off. Theoretically, it could be re-created on a neural network, but that would be very difficult, as it would require all one's memories.
What is commonly overlooked in using the computer is the fact that the central goal of design is still to obviate failure, and thus it is critical to identify exactly how a structure may fail. The computer cannot do this by itself . . .
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