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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]


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  • (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.