State of the art in AI?
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The Grand Negus wrote:
and we think we know how to fix it.
by making the whole world give up everything above a 3 year old's ability to comprehend. :)
_________________________ Asu no koto o ieba, tenjo de nezumi ga warau. Talk about things of tomorrow and the mice in the ceiling laugh. (Japanese Proverb)
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
John Cardinal wrote:
From a brief search I'm left with the impression the whole field is stalled right now.
yes, and no for a short answer. Yes because the state of AI has slowed to take in enormous amounts of information coming in related to bioneural analysis of the human brain. Real world knowledge of how the brain and neurons work. Because of the sudden boost in knowledge of the human brain, AI has taking in the information en-mass to change directions toward this new-found knowledge. Before we were simulating usages, syntactical methodology similar to he who shall not be named, though far more complex. Now they are trying to change direction toward real-world simulation of bio-neural complexities rather than simple complete fabrications on non-realistic algorithms. Knowledge of real-world brain functions is completely reshaping AI toward human brain function rather than just code. http://sigart.acm.org/[^] http://www.mcell.psc.edu/joel.html[^] http://www.salk.edu/faculty/faculty/details.php?id=48[^]
_________________________ Asu no koto o ieba, tenjo de nezumi ga warau. Talk about things of tomorrow and the mice in the ceiling laugh. (Japanese Proverb)
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
Produces some interesting results as well as the site 20q.net. I have noticed anything state of the art mostly just application of existing methods with improved algorithms, better approaches, and better training. A really neat article in Wired last year detailed a man with a giant cluster running Genetic Algorithms to generate patents?(don't remember exactly what) but it was basically just genetic algorithms which aren't exactly new. I wish I was on the cutting edge and could provide more info, I really get stagnant on my AI writing Business Apps, not many companies want to pay to implement learning systems to improve their process or increase close ratio if it isn't proven. I am thinking about implementing a call script learner that dynamically moves a call script in relationship to collected data to increase close but I am waiting on the right application (and user base :p )
On two occasions I have been asked [by members of Parliament], 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question. - Charles Babbage
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
I'm not sure what the current "state of the art" is - a lot of material will refer to anything produced within the last 10-12 years as "recent". That said, I'm looking into the field of reinforcement learning at the moment for my final year project in college, and, if you're interested in that side of things, two good links are Resources on RL (which is just a set of links, but a decent one) and the Sutton & Barto online book (which is linked to on that page, but it's so worth reading that I may as well mention it explicitly). In other AI fields, I guess wikipedia is your man - it's got a good set of categories defined, and some impressive recent entries on optimisation techniques and emergent AI like particle swarm optimisation and (meta)genetic programming. hth :)
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Produces some interesting results as well as the site 20q.net. I have noticed anything state of the art mostly just application of existing methods with improved algorithms, better approaches, and better training. A really neat article in Wired last year detailed a man with a giant cluster running Genetic Algorithms to generate patents?(don't remember exactly what) but it was basically just genetic algorithms which aren't exactly new. I wish I was on the cutting edge and could provide more info, I really get stagnant on my AI writing Business Apps, not many companies want to pay to implement learning systems to improve their process or increase close ratio if it isn't proven. I am thinking about implementing a call script learner that dynamically moves a call script in relationship to collected data to increase close but I am waiting on the right application (and user base :p )
On two occasions I have been asked [by members of Parliament], 'Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able rightly to apprehend the kind of confusion of ideas that could provoke such a question. - Charles Babbage
Ennis Ray Lynch, Jr. wrote:
A really neat article in Wired last year detailed a man with a giant cluster running Genetic Algorithms to generate patents?(don't remember exactly what) but it was basically just genetic algorithms which aren't exactly new.
That sounds like John Koza, a guy who popularised genetic programming in the mid 80's and early 90's I think. Indeed, GA and GP aren't new, but there are new areas that research is (or should be) being done, like meta-genetic programming and trying to OO-ify genetic programming (I think the PUSH language was developed to try to further this).
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
Getting back to the topic at hand, here are a few links to WikiPedia that discuss AI. Apparently you're partially right when you say the field is stalled. I guess it depends on if when you say AI you're referring to a computer that is self aware. According to WikiPedia, that field is stalled due to the complexities involved. However, AI is very much alive in the fields of handwriting recognition, text classification, etc. This is generally referred to as "Weak" AI (according to WikiPedia). "Weak" AI: http://en.wikipedia.org/wiki/Artificial_intelligence[^] Strong AI: http://en.wikipedia.org/wiki/Strong_AI[^]
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
No Signature..
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
Wow. Not a single intelligent related answer in the beginning of this thread. :mad: Looks like the only Intelligence to be found is in AI websites. :rolleyes: Here are some links. AI on the Web - A very plain but thorough AI portal. KurzweilAI.net - Ray Kurzweils AI Website. This is a good place to find some of the latest industry news and predictions. Scientific American has had some good articles regarding AI as well as [Popular Science](http://http://www.popsci.com/ rel=), at least for non programmer/techie "lay-persons" such as yourself :cool: Besides these, Google is your friend. Just do a search on "Artificial Intelligence" with the quotes. The field is certainly not stalled. Its just that the breakthroughs come in small steps and the major mainstream media does not run articles on new Neural-Net algorithms and such.
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I know some are into artificial intelligence here, I was just curious which sites are the best for a nearly layperson to appreciate the state of the art in what's happening now. From a brief search I'm left with the impression the whole field is stalled right now.
Typical, someone asks about a good subject, to start some conversation and you all turn it on its head and get off track. Sometimes the discussion in this place is as bad as a couple of drunk children trying to communicate. I dont know much about AI mate but I can share with you something I found the other day that I was impressed with. A lego rubix cube solving robot![^]