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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]
(Score: 4, Informative) by Anonymous Coward on Thursday April 16 2020, @02:01AM (14 children)
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].
(Score: 0) by Anonymous Coward on Thursday April 16 2020, @02:11AM
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)
(Score: -1, Troll) by Anonymous Coward on Thursday April 16 2020, @02:31AM (3 children)
Which is what it all is under the hood.
(Score: 2, Informative) by khallow on Thursday April 16 2020, @02:53AM
(Score: 0) by Anonymous Coward on Thursday April 16 2020, @01:44PM (1 child)
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
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
For a much more general, big picture, work through: http://aurellem.org/society-of-mind/som-prologue.html [aurellem.org]
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)
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
(Score: 0, Disagree) by Anonymous Coward on Thursday April 16 2020, @02:49AM (3 children)
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)
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
(Score: 2) by DannyB on Thursday April 16 2020, @06:43PM (1 child)
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?
Why is it that when I hold a stick, everyone begins to look like a pinata?
(Score: 2) by maxwell demon on Thursday April 16 2020, @07:28PM
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)
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
> 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.