Algorithms Quotes

On this page you will find all the quotes on the topic "Algorithms". There are currently 110 quotes in our collection about Algorithms. Discover the TOP 10 sayings about Algorithms!
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  • Back in the really early days, the men went out hunting, the women stayed home with the kids, and would hold the kid in one arm against the heart, so that's the left, and with the right arm they would throw. And it turns out you cannot make that calculation in real time. You have to have an algorithm set up. So these brain mechanisms evolved in order to do that, and when they evolved, the thing is that where there is a useful capability it often adapts to places it wasn't evolved for.

    Real   Home   Heart  
    Source: medium.com
  • The development of an organism ... may be considered as the execution of a 'developmental program' present in the fertilized egg. ... A central task of developmental biology is to discover the underlying algorithm from the course of development.

    Science   Eggs   Tasks  
    Aristid Lindenmayer, Grzegorz Rozenberg (1976). “Automata, languages, development”, North-Holland
  • The most important goal I had in mind was to convince people to stop blindly trusting algorithms and assuming that they are inherently fair and objective.

    People   Goal   Mind  
    Source: www.salon.com
  • More than sixty years ago, mathematical logicians, by defining precisely the concept of an algorithm, gave content to the ancient human idea of an effective calculation. Their definitions led to the creation of the digital computer, an interesting example of thought bending matter to its ends.

    David Berlinski (2000). “The Advent of the Algorithm: The Idea that Rules the World”, Houghton Mifflin
  • It is raining DNA outside. On the bank of the Oxford canal at the bottom of my garden is a large willow tree, and it is pumping downy seeds into the air. ... spreading DNA whose coded characters spell out specific instructions for building willow trees that will shed a new generation of downy seeds. ... It is raining instructions out there; it's raining programs; it's raining tree-growing, fluff-spreading, algorithms. That is not a metaphor, it is the plain truth. It couldn't be any plainer if it were raining floppy discs.

    Rain   Character   Garden  
    "The Blind Watchmaker". Book by Richard Dawkins, 1986.
  • There's a belief that whatever it is I'm looking for is out there, but I have a really difficult time finding it. Search algorithms alone are falling short in being able to provide real context around information.

    Real   Fall   Algorithms  
  • Once you succeed in writing the programs for [these] complicated algorithms, they usually run extremely fast. The computer doesn't need to understand the algorithm, its task is only to run the programs.

  • You cannot invent an algorithm that is as good at recommending books as a good bookseller.

  • I'm less interested in uniqueness than in goodness. I see so many concerts where the program notes are more interesting than the music. I remember talking to one composer who went through the most complicated mathematical algorithm to generate some material from scratch. It took weeks and weeks, and he came up with a C major chord. For me, honesty is more interesting than originality.

    Source: pitchfork.com
  • Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding.

  • Lead generation excels when a campaign is looking to capture a piece of factual intelligence that could never be modelled or predicted through profiling and sophisticated propensity algorithms.

  • We at Google have made tremendous advances in understanding language. Our knowledge graph has been fundamental to that. The new algorithm that we launched today called Hummingbird has been a great leap forward.

  • My style is basically trend following, with some special pattern recognition and money management algorithms.

  • Anyone, from the most clueless amateur to the best cryptographer, can create an algorithm that he himself can't break.

    "Memo to the Amateur Cipher Designer". Cryptogram Newsletter, www.schneier.com. October 15, 1998.
  • Enchanting is not the word that would immediately spring to mind when describing a play that deals with fractal geometry, iterated algorithms, chaos theory and the second law of thermodynamics, but it is a perfect fit for Tom Stoppard's astonishing 1993 play, which is as beautiful as it is brilliant. This is one Stoppard drama that you don't have to be Einstein to understand -- you can feel it as well as think it. (...) Breathtaking, exhilarating and deeply satisfying.

  • I described to my patent lawyer our new algorithm-that I was hoping to patent- about detecting clustering, that involved three probabilities α , β, γ that add-up to 1, and mentioned that it is like "a three-sided coin". A few days later he came up with a patent application for a "three-sided-coin".

    Science   Patents   Add  
  • What geographic profiling does is it takes a look at the locations of a connected series of incidents - say murders in a serial murder case or robberies in a serial bank robber case - and it spatially analyzes the point pattern of incidents, and creates a probability surface from those, working from the basis of an algorithm that says people offend close to where they live, but not too close.

    People   Doe   Looks  
    Source: www.macleans.ca
  • Algorithms don't do a good job of detecting their own flaws.

    Jobs   Algorithms   Flaws  
    "This much I know". Interview with John Hind, www.theguardian.com. February 14, 2009.
  • Humans are very good at making algorithms work eventually.

    Source: www.believermag.com
  • [With AI] Somebody's going to have to think of a completely new algorithm, a new way of doing goal-based planning.

  • In fact, there was general agreement that minds can exist on nonbiological substrates and that algorithms are of central importance to the existence of minds.

  • There is no Algorithm for Humor

  • You cannot invent an algorithm that is as good at recommending books as a good bookseller, and that's the secret weapon of the bookstore - is that no algorithm will ever understand readers the way that other readers can understand readers.

  • The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials.

    Source: medium.com
  • The Facebook algorithm designers chose to let us see what our friends are talking about. They chose to show us, in some sense, more of the same. And that is the design decision that they could have decided differently. They could have said, "We're going to show you stuff that you've probably never seen before." I think they probably optimized their algorithm to make the most amount of money, and that probably meant showing people stuff that they already sort of agreed with, or were more likely to agree with.

    Source: www.salon.com
  • The classes of problems which are respectively known and not known to have good algorithms are of great theoretical interest. [...] I conjecture that there is no good algorithm for the traveling salesman problem. My reasons are the same as for any mathematical conjecture: (1) It is a legitimate mathematical possibility, and (2) I do not know.

  • The Arab world is also the world that produced some of the greatest improvements in mathematics and in science. Even today, when a Princeton mathematician does an algorithm, he may not remember that "algorithm" derived from the name al-Khwarizmi, who is a ninth-century Arab mathematician.

    Names   Doe   Algorithms  
    Source: www.pbs.org
  • 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.

  • These algorithms, which I'll call public relevance algorithms, are-by the very same mathematical procedures-producing and certifying knowledge. The algorithmic assessment of information, then, represents a particular knowledge logic, one built on specific presumptions about what knowledge is and how one should identify its most relevant components. That we are now turning to algorithms to identify what we need to know is as momentous as having relied on credentialed experts, the scientific method, common sense, or the word of God.

  • Nature doesn't feel compelled to stick to a mathematically precise algorithm; in fact, nature probably can't stick to an algorithm.

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