Thursday, October 22, 2015

Computer Science laws

Hebb's law


Moore's law


Marconi's law


Gustafson's law


Cooper's law


Turing Test



10 comments:

  1. Moore's Law is an observation. In 1965, Moore noticed his company and others were constantly improving how their computer chips were manufactured. Mainly targeting their computing power and also finding simpler, easier ways to manufacture. Which led to lower sales prices.

    Which that being said, Moore's Law is an observation of how technology will always be improving. There will always be a more efficient way to manufacture and there will always be technology more powerful.
    -Dianna Allen

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  2. Gustafson's law- more computing power will cause the data to be able to move more carefully and will be fully analyzed pixel by pixel instead of a larger scale. the increase in power prompts researchers to add more data to simulate more variables to their fullest extent.
    -Danielle Dennis

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  3. JC says,
    Hebbian theory is about how your brain (neurons) learns to associate things. One paraphrase is, "Neurons that fire together work together. " As far as I am concerned the theory is an extension of Pavlov's Dog -- feed him when a bell is ringing often enough and he'll look for food (and salivate) when the bell rings.

    From a Network Engineer's perspective a corollary could be used to answer many "whys" about system performance or even improve system performance. Dynamic routing tables that could be turned static if the targets are used often enough is one example -- kinda like a "favorites" file for your router.

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  4. Marconi's law

    The height of the antenna is equal to the maximum signaling distance squared by a constant number. Basically the taller the antenna, the more signal range you have, with flat terrain features.

    Matthew Peters

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  5. Hebbian Associative learning has been obtained by Donald Hebb, back in the time period of 1949 and is known as Hebb's Law know. Hebb's Law indicated If two neurons are active at the exact same time, the synapses in the middle of them are strengthened.

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  6. Moore's Law: is the observation that the number of transistors in a dense integrated circuit doubles approximately every two years.
    Hebb's Law:is a theory in neuroscience that proposes an explanation for the adaptation of neurons in the brain during the learning process.
    Marconi's Law:is the relation between height of antennas and maximum signaling distance of radio transmissions.
    Gustafson's law:computations involving arbitrarily large data sets can be efficiently parallelized.
    Cooper's Law:he invented the cell phone and has been portrayed on some tv commercials for Mazda automobiles. And Cooper found that the ability to transmit different radio communications simultaneously and in the same place has grown at the same pace since Guglielmo Marconi's first transmissions in 1895.

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  7. Moore's law is the law the says for every year the number of transistors doubles in the integrated circuit. then after the first decade then it went to every two years and it was true till the 2012.

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  8. Moore's Law was a prediction theory/observation from his work in integrated circuit manufacturing that said that the number of transistors on a chip doubles about every year, though he went back and revised his observation to be a doubling about every 18-24 months instead.

    This model basically says that technology with these chips will be something that will continually be growing. The strength and power of electronics will become better and better. Companies will be able to release new products that show off the new strength of the new chips at regular intervals, though this can be frustrating for the consumer since their "new" products that they buy could be replaced by better versions within a year. This model also allows for the prediction of what the chips will be like and their potential cost.

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  9. coopers law people are learning to use the radio bands more efficiently with voice or data more often. every 30 months it doubles in use.

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  10. Moore's law

    Newer CPUs will have more transistors today then before by the millions.
    T. Smith

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