Stories
Slash Boxes
Comments

SoylentNews is people

posted by martyb on Thursday April 16 2020, @01:50AM   Printer-friendly
from the what-IS-intelligence,-anyway? dept.

Anything where we can install it and watch it change all by itself, improving upon itself and not just some random action but something which LEARNS.

[Ed. note: All of the preceding is exactly as received. AI has so many branches and sub-branches (twigs?) and has evolved greatly over the years. I suspect the submitter, like most of us, has seen numerous mentions of AI in the press: self-driving cars, natural language translation, Google's Deep Mind, IBM's Jeapordy-playing computer, object recognition... but knows not even where to begin. So, fellow Soylentils, what has been helpful to you in your explorations of AI? What software can be downloaded and experimented with so as to get some hands-on appreciation for what it can do? I suspect there are many others in the community who would not mind playing around with it, too. --martyb]


Original Submission

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 4, Informative) by Anonymous Coward on Thursday April 16 2020, @02:01AM (14 children)

    by Anonymous Coward on Thursday April 16 2020, @02:01AM (#983370)

    First you go learn about it [3blue1brown.com] or read about it [uark.edu].

    Then you go play around with it [tensorflow.org] in your browser [stanford.edu].

    Starting Score:    0  points
    Moderation   +4  
       Informative=4, Total=4
    Extra 'Informative' Modifier   0  

    Total Score:   4  
  • (Score: 0) by Anonymous Coward on Thursday April 16 2020, @02:11AM

    by Anonymous Coward on Thursday April 16 2020, @02:11AM (#983378)

    First you go learn about it [3blue1brown.com] or read about it [uark.edu].

    Then you go play around with it [tensorflow.org] in your browser [stanford.edu].

    Exactly the direction I was going to point people. Tensorflow is a great place to start.

  • (Score: 1) by khallow on Thursday April 16 2020, @02:18AM (4 children)

    by khallow (3766) Subscriber Badge on Thursday April 16 2020, @02:18AM (#983383) Journal
    Note that this is for a very specific thing, neural networks.
    • (Score: -1, Troll) by Anonymous Coward on Thursday April 16 2020, @02:31AM (3 children)

      by Anonymous Coward on Thursday April 16 2020, @02:31AM (#983395)

      Which is what it all is under the hood.

      • (Score: 2, Informative) by khallow on Thursday April 16 2020, @02:53AM

        by khallow (3766) Subscriber Badge on Thursday April 16 2020, @02:53AM (#983410) Journal
        Except when it's not! We already have counter examples such as natural language processing and theorem-proving systems.
      • (Score: 0) by Anonymous Coward on Thursday April 16 2020, @01:44PM (1 child)

        by Anonymous Coward on Thursday April 16 2020, @01:44PM (#983575)

        Wow, I got slapped with the "Troll" mod. I think I hit a little too close to home for somebody. No, AI is just neural networks. Yes, there are trivial algorithms that are not neural nets, but they are thinks like cluster analysis and even simple linear regression! All the hard and interesting things are just various forms of neural nets and various ways to "train" them. They all have fancy names, and they get wrapped up into pretty black boxes, but they are just glorified nets with different forms of interconnectedness.

        I think the nerve I hit was that most of machine learning is just creating training sets and "tuning the models", which is basically GIGO. You keep tweaking knobs until it seems to work, or until you add more data to your training set and then it breaks again. Systems that "learn on their own" are basically just different algorithms that turn the knobs so that the trained monkey (er, I mean, Machine Learning Researcher) doesn't have to.

        The more sophisticated the system, the bigger the black box, and the bigger the training set.

        • (Score: 1) by Fuzzums on Saturday April 18 2020, @10:01AM

          by Fuzzums (2009) on Saturday April 18 2020, @10:01AM (#984521)

          It depends on what you call artificially intelligent. As pointed out in many places, there is AI, Machine learning and deep learning, each a subset of the previous one.
          A if-then decision tree is also artificially intelligent. Just less sophisticated than statistics, I mean neural networks.
          Or even tic-tac-toe, where a computer can calculate all the options is still artificially intelligent enough to be able to win.

  • (Score: 0) by Anonymous Coward on Thursday April 16 2020, @02:24AM

    by Anonymous Coward on Thursday April 16 2020, @02:24AM (#983389)

    For a much more general, big picture, work through: http://aurellem.org/society-of-mind/som-prologue.html [aurellem.org]

    This book tries to explain how minds work. How can intelligence emerge from nonintelligence? To answer that, we'll show that you can build a mind from many little parts, each mindless by itself.

    There are many "chapters" in this book, but each is quite short.

  • (Score: 3, Funny) by c0lo on Thursday April 16 2020, @02:27AM (4 children)

    by c0lo (156) Subscriber Badge on Thursday April 16 2020, @02:27AM (#983390) Journal

    First you go learn about it [3blue1brown.com] or read about it [uark.edu].

    Then you go play around with it [tensorflow.org] in your browser [stanford.edu].

    Don't ask how can AI learn - ask how you can learn about AI

    -- William Shatner

    (grin)

    --
    https://www.youtube.com/watch?v=aoFiw2jMy-0 https://soylentnews.org/~MichaelDavidCrawford
    • (Score: 0, Disagree) by Anonymous Coward on Thursday April 16 2020, @02:49AM (3 children)

      by Anonymous Coward on Thursday April 16 2020, @02:49AM (#983408)

      Artificial Intelligence is a marketing term. Think of AI as a sophisticated pattern matching technique that requires a large volume of human labor to create the training sets. There is no intelligence.

      • (Score: 2) by c0lo on Thursday April 16 2020, @03:11AM (2 children)

        by c0lo (156) Subscriber Badge on Thursday April 16 2020, @03:11AM (#983420) Journal

        Be it as it may be, the techniques are, as you put it, sophisticated. As such, you start by learning about them before getting to use them.

        --
        https://www.youtube.com/watch?v=aoFiw2jMy-0 https://soylentnews.org/~MichaelDavidCrawford
        • (Score: 2) by DannyB on Thursday April 16 2020, @06:43PM (1 child)

          by DannyB (5839) Subscriber Badge on Thursday April 16 2020, @06:43PM (#983728) Journal

          AI seems to come in two major forms.

          First type GOFAI. (Good Old Fashioned AI) Lisp pattern matching. Prolog. OPS5. Computer Algebra Systems (CAS). Theorem provers. Minimax game playing systems. Minikanren Etc.

          Second type Neural Net or Statistical based. The first effective spam filters were Bayesian. Neural nets do amazing things with practical every day use. Alexa: how long does it take to make the 10 minute drive to the office?

          --
          With modern TVs you don't have to worry about braking the yolk on the back of the picture tube.
          • (Score: 2) by maxwell demon on Thursday April 16 2020, @07:28PM

            by maxwell demon (1608) on Thursday April 16 2020, @07:28PM (#983753) Journal

            Alexa: how long does it take to make the 10 minute drive to the office?

            Half an hour.

            --
            The Tao of math: The numbers you can count are not the real numbers.
  • (Score: 3, Informative) by crafoo on Thursday April 16 2020, @05:39AM (1 child)

    by crafoo (6639) on Thursday April 16 2020, @05:39AM (#983467)

    Good links. 3blue1brown videos are pretty decent. I like Anaconda https://www.anaconda.com/ [anaconda.com] for easy installation of TensorFlow (and GPU accelerated version of TF) as well as all the Python an SciPy installs you might need. Great for getting into neural networks without having to worry to much about versions and distributions and whatnot.

    AI I think is a little more broad subject than just neural networks, and doesn't necessarily require neural networks.

    • (Score: 1, Informative) by Anonymous Coward on Thursday April 16 2020, @01:50PM

      by Anonymous Coward on Thursday April 16 2020, @01:50PM (#983579)

      > AI I think is a little more broad subject

      Bingo!! You get the prize for understatement of the day! If you sweep away all the current pattern matching activity (with big funding), there is still a core of researchers working on understanding human intelligence--in many different aspects.