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Gear300
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Lets say that a large number of computers, such as 100000000, were networked with as few barriers as possible. Will this system show signs leaning towards artificial intelligence?
A student in physics
might reasonably feel that all the good ideas have already been taken by Galileo, Newton,
Einstein, and the rest. AI, on the other hand, still has openings for several full-time Einsteins
TheMadman said:Artificial Intelligence has much critiques. Some seriously doubt whether it is even possible. I read somewhere that some big projects on AI has been closed and some 'Professors' have lost their hope in this field. But, it would be nice if we could simply do one thing. That is, if we can definitely state what do we mean by developing intelligence?
Human being is now able to fly? Is it true? Not wholly. We have been able to fly only after we realized that we have to leave mimicking birds. If we can do something on AI in the same way that might do something.
I got really frustrated when I took this course this trimester [with great anthusiasm]. We were taught a famous algorithm that's called 'Multilayer Feed Forward Neural Network'. That is kinda making 'Neurons' called 'Perceptrons'. Each neuron takes given input and then produce an output. This output then given to the next layer. After some some layer there is one output. Now this output is compared with the expected output and then the errors are calculated and the discarded with backward propagation. I personally didn't like it, since it didn't seem that simple. As I see All GREAT IDEAS are simple. TOO SIMPLE TO NOTICE.
Anyway, We still don't know how neurons work. I mean internally.
Maybe if they started cloning brains! But, wouldn't that then be actual intelligence, rather than artificial intelligence?TheMadman said:I read somewhere that some day not the computer scientist rather the biomedical engineers will develop AI.
Though, I vehemently reject this idea :]
mgb_phys said:Not unless someone gets much better at software.
TheMadman said:I got really frustrated when I took this course this trimester [with great anthusiasm]. We were taught a famous algorithm that's called 'Multilayer Feed Forward Neural Network'. That is kinda making 'Neurons' called 'Perceptrons'. Each neuron takes given input and then produce an output. This output then given to the next layer. After some some layer there is one output. Now this output is compared with the expected output and then the errors are calculated and the discarded with backward propagation. I personally didn't like it, since it didn't seem that simple. As I see All GREAT IDEAS are simple. TOO
It'd be nice if they could get MS Word to know the entire English language's grammar. However, it's not possible, as Noam Chomsky's work has shown. Yet, somehow people can understand the English grammar.
Maybe if they started cloning brains! But, wouldn't that then be actual intelligence, rather than artificial intelligence?
michinobu said:No, it's not an issue of software. It's more of an issue of mathematics. Again, as I said earlier, I haven't actually taken a course on AI or know a great deal about it. But, I from what I gather from computational theory, it seems that if its mathematically impossible for a computer to do something then no one will ever be able to even think of way in which one could write software to implement it.
But, maybe if someone can get data structures which mimic brain-cells well-enough to where a computer could actually think, then maybe it wouldn't be so impossible. Yet, I don't know any of the problems associated with this idea.
neslte said:Check this article out though:
http://news.bbc.co.uk/2/hi/science/nature/8012496.stm"
"Wolfgang Wahlster of the German Research Center for Artificial Intelligence, and a chief German government scientific adviser on ICT, thinks that the reductionist strategy of the project is flawed - that it won't see the forest for the trees.
This is very interesting research and I'm not criticizing it, but it doesn't help us in computer science in having the intelligent behaviour of humans replicated."
Artificial intelligence (AI) is a broad field of computer science that involves creating intelligent machines that can think, learn, and make decisions like humans. It involves various subfields such as machine learning, natural language processing, and robotics.
AI is important because it has the potential to enhance human lives in many ways. It can automate routine tasks, improve decision-making, and provide insights from large amounts of data. AI also has applications in various industries such as healthcare, finance, and transportation.
One of the main concerns about AI is its potential to replace human jobs, leading to unemployment. There are also ethical concerns about the use of AI, such as bias in decision-making algorithms and loss of privacy. Additionally, there are fears about AI becoming too advanced and out of human control.
AI is already being used in various applications, including virtual personal assistants, image and speech recognition, and self-driving cars. It is also used in industries such as finance, healthcare, and manufacturing to automate tasks and improve efficiency.
The future possibilities of AI are vast and exciting. Some experts believe that AI could eventually achieve human-level intelligence and even surpass it. This could lead to major advancements in fields such as healthcare, space exploration, and scientific research. However, it is important to consider the ethical implications and ensure responsible development of AI.