A Quote by Donald Knuth

I decry the current tendency to seek patents on algorithms. There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science.
For his major contributions to the analysis of algorithms and the design of programming languages, and in particular for his contributions to the "art of computer programming" through his well-known books in a continuous series by this title.
I use the computer as a tool. Like chance or the camera or the other tools I've used, it can open my eye to other ways of seeing or of making dances. It's not simply to do a trick.
If everybody has to take biology and chemistry, they can take computer science. Computer science is a more useful skill right now than a lot of other things that people are learning at school.
That always seemed the coolest thing to me. How do you use num'bers to predict things? It was like a cool way to use numbers to be better than other people. And I really liked being better than other people.
Science is a wonderful thing if one does not have to earn one's living at it. One should earn one's living by work of which one is sure one is capable. Only when we do not have to be accountable to anybody can we find joy in scientific endeavor.
Unless we make computer science a priority, we risk making gender, class, and racial disparities worse as jobs flow to those with a computer science background.
It is more difficult to research women's lives than it is men's. There has always been a tendency - race notwithstanding - to believe that women's contributions have been less important than men's contributions because women are usually less public people.
If African farmers can use improved seeds and better practices to grow more crops and get them to market, then millions of families can earn themselves a better living and a better life.
If somebody is working on a new medicine, computer science helps us model those things. We have a whole group here in Seattle called the Institute for Disease Modelling that is a mix of computer science and math-type people, and the progress we're making in polio or plans for malaria or really driven by their deep insights.
Honestly, I still don't use my computer. My kids use the computer more than I do! I understand that a lot of people are into it, and I have days where I write and stuff, but it's really not for me. It's not my thing.
I was never as focused in math, science, computer science, etcetera, as the people who were best at it. I wanted to create amazing screensavers that did beautiful visualizations of music. It's like, "Oh, I have to learn computer science to do that."
The attribution of intelligence to machines, crowds of fragments, or other nerd deities obscures more than it illuminates. When people are told that a computer is intelligent, they become prone to changing themselves in order to make the computer appear to work better, instead of demanding that the computer be changed to become more useful.
Women offer unique contributions to making and keeping peace - and that those contributions lead to better outcomes not just for women, but for entire societies.
I remember that mathematicians were telling me in the 1960s that they would recognize computer science as a mature discipline when it had 1,000 deep algorithms. I think we've probably reached 500.
In deep learning, the algorithms we use now are versions of the algorithms we were developing in the 1980s, the 1990s. People were very optimistic about them, but it turns out they didn't work too well.
Doing something, however pathetic, is psychologically better than doing nothing. In the current political environment - that is, with no more Cold War tensions - the tendency is to counteract the feelings of fear and vulnerability with a variety of military, paramilitary and police measures, despite the reality that this kind of excessive reliance on force in many ways intensifies the very problem it is purporting to solve.
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