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Anyone working with AI?

post #1 of 9
Thread Starter 
Curious as to whether anyone around here as a computer science major or the like works with Artificial Intelligence or is this beyond the scope of OCN. NOT saying people here could not do it, I’m saying it is not a subject of interest. I am looking at becoming a computer science major and I am really interested in Machine learning. More algorithms or GP not strictly rule based. Anyone with any experience?
    
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post #2 of 9
Sort of. A previous project of mine was working on engineering a software program that could control multiple systems from an uncontrollable server. Then some John Connor kid tried to mess things up, and I moved over to Industrial Engineering instead.
post #3 of 9
I don't have any experience with it personally, but my brother in law has a friend who wrote an AI for Quake that learned with each round and got progressively harder. But that doesn't really help you
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post #4 of 9
im gonna study ai next sem(7th sem)
currently doing bachelor degree in computer science engineering..........
post #5 of 9
Quote:
Originally Posted by Spazghost View Post
I don't have any experience with it personally, but my brother in law has a friend who wrote an AI for Quake that learned with each round and got progressively harder. But that doesn't really help you
you know come to think of it i remember dominating in quake at first but i didnt think a cd rom could really have any ai lol

if someone is legitimately working with ai, or has worked with ai, they are probably not on overclock.net....

because they were probably taken out by sean connor.
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post #6 of 9
Hey, have you been paying attention to IBM and watson? thats probably one of the smartest (announced) AI's we have at the moment.

As your majoring in comp science you obviously understand how we currently program computers and i hope how the processor actually works, and essentially all they do is add binary and compare. The problem with that is that there are no permanent connections, unlike the neurons in our brains, so it has to call upon procedures from memory to direct it to the information it needs.

Anyway who knows, maybe with NAND or future memory storage options they could integrate it into the CPU's Registries once the memory capacity becomes denser. But then we need a new generation of programming language allowing a computer to effectively "recall" from "experiences" and learn by itself.
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post #7 of 9
Thread Starter 
Quote:
Originally Posted by G0D View Post
Hey, have you been paying attention to IBM and watson? thats probably one of the smartest (announced) AI's we have at the moment.

As your majoring in comp science you obviously understand how we currently program computers and i hope how the processor actually works, and essentially all they do is add binary and compare. The problem with that is that there are no permanent connections, unlike the neurons in our brains, so it has to call upon procedures from memory to direct it to the information it needs.

Anyway who knows, maybe with NAND or future memory storage options they could integrate it into the CPU's Registries once the memory capacity becomes denser. But then we need a new generation of programming language allowing a computer to effectively "recall" from "experiences" and learn by itself.
Ya I read the news about Watson. My uncle works for IBM, he doesnt program he is an executive for corporate sales. Anyway, I didnt 'just' become interested because of Watson, although that is simply amazing performance. I trade index futures and options (you know the stock market) and I want to automate the process. Through my research (without going too in depth) machine learning AI is the way to go. I have spent the last year changing my strategy to match up to the way a computer can use the data. I am just looking for interesting sources and what not about AI and anything else that may be useful.
    
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post #8 of 9
I worked with AI last semester and am doing more this semester (though at the moment it is mainly related to image processing).

What is it exactly you're curious about? AI is still pretty rudementry, it's not nearly as "Magical" as you'd think.

AI generaly boils down to one of 3 catagories of aproaches (or a combination):

1) Searches, a lot of AI is just tricky search techniques, this kind of AI is what you use when you create game playing computer AI, or things of that sort. The real trick is getting good results without your searches taking forever. There are a few techniques that are quite popular.

2) Y function Aproximators: These are your "learning" algorithms. They work by taking up a bunch of learning inputs and their corresponding output. Given that data they can then attempt to classify new sets of data. A lot of useful prediction algorithms use this approach. It is also quite useful for things like computer vision and computer driven vehicles.

3) Statistical Analysis, this is quite often incorporated with either (or both) of the approaches above. Basically this leverages things like Bayesian assumptions to predict the most likely correct output. This is very often used as part of the Y function approximators in part 2. It is a complex version of this kind of algorithm that powers Watson.

Anyway, yea.. that is pretty much a super rough outline of AI. There are 3 main issues with AI at the moment:

1) Getting algorithms to run acceptably fast is hard, this is most often an issue when using search based techniques.

2) Over-fitting data is a huge problem, overly complex classifications schemes can be counterproductive for classifying new data.

3) It's very hard to get an algorithm that determines what "values" of input to look at. By that I mean, most algorithms depend on the programmer defining the attributes to be used in classification. For example if you wanted to write a program to predict how healthy a person was, you'd have to decide what values about that person to input. Reasonable examples would be things like age, weight, history of heart disease, and so on. It would be much more useful if we could just sort of set our algorithms use on all the knowledge we had about a person, and it would decide what was useful. This is especially key in fields such as computer vision.


Anyway.... I hope this stupidly long post helped. Feel free to ask me more specific questions, though I am by no means an expert in the field.
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post #9 of 9
Thread Starter 
That is awesome! Im at work and will expand on what I am looking for tonight. Your second number three is kind of the problem I have been working on for the last year or so.
    
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