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A Recently, I want to write something about data in physics

  1. May 7, 2018 #1
    Nowadays, the machine learning of computer science is hot. It is based on data, and drove by data. Thus, a question is naturally coming out: the data in physics, and the models of data. I think it is a really empirical way to know how physicists do the same thing as the computer scientists. So could you give some examples about the data in physics or give the links?
     
    Last edited: May 7, 2018
  2. jcsd
  3. May 7, 2018 #2

    BvU

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    Good. Is thee anything we can help you with? A question, perhaps ?

    Did you notice your post got an 'advanced' tag, meaning PhD level ?
     
  4. May 7, 2018 #3

    A.T.

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    Are you investigating the question, whether the current physics (mathematical formulas) will be once replaced by neutral networks, which predict the outcome of experiments?
     
  5. May 7, 2018 #4
    That's a horror idea! I just think of the key idea 'from data to model' in physics instead of investigating it.
     
  6. May 7, 2018 #5

    jedishrfu

    Staff: Mentor

    There is a fundamental weakness in using machine learning methods in science. Once we discover something we need to be able to explain it but that might not be possible.

    Cornell has a program that extracted the equations of motion for a compound mechanical pendulum using lots of data with no knowledge of physics. It worked so they tried it on some cellular data and discovered some behavior in cells never before quantified as an equation. However the biologists said they couldn't publish because they didn't have a theory to explain the result.

    https://www.wired.com/2009/04/newtonai/
     
  7. May 11, 2018 #6

    Tom.G

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    If you follow that link deep enough, you discover it spawned a company, which was then bought by an agricultural seed company, which uses it to evaluate hybrid seeds to market to farmers! You may even be eating the results in your next meal.

    So it appears there was a use for the program after-all!
     
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