Artficial Intelligence today

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Hi everyone,

Just want everyone to share their opinions on the current implications of current computer science researches today. I mean I have a strong feeling that the next generation of information technology is coming. More demands for highly intelligent data analysis will eventually come and be available for everyone, in all businesses and even in our cellphone apps. It may look like AI algorithms and neural networks, GAs, deep learning etc. will be a practical knowledge for every programmer. 5GLs (5th generation languages) will eventually be as common as Java and C++ now. Even computer hardware's will begin development designed for self learning systems rather than rule based instructions.

What do you think??? Could it be an exciting period on computers and programming??

To me AI is a tool. I'm getting a bit tired of these doctorates, simultaneously talking about AI supremacy whilst willing it forward. To me this smacks of padding out/hyping their research over others. I remember one example, where the guy believe that capacity alone (a specific type) would somehow spontaneously evolve into AI.

Only a species like us would be simultaneously so smart and so stupid to allow this to happen.

AI need to be confided to a context, it is not meant to replace natural intelligence but supplement it. It need to be practically done.

Although there is some context where human or animal like AI project are viable, I think this is overdone, research should be focused the abstract and the practical aspect of AI rather than unabated biological replication.

I think the motivating factor for humans to starting introducing AI into machine systems is that anything that is complex but is predictable is a candidate for automation, and thus the standard technique to do this is through contemporary programming, where the Turing machine is realized, or rule-based. However, as humans become 'smarter' (hopefully wiser), we wanted to pass the burden of complex and lengthy programming to machines themselves and hence the motivation of AI or hypercomputing.

The case is that the means of ensuring that constraining the AI programs wont have unpredictable results, a rudimentary example is what happened in I robot movie, but of course, in reality it's more complicated than that. Maybe a part of the BRAIN initiative from the US is to understand what consciousness is, and at the same time, set the unknown, or unpredictable parts of our thinking into predictable concepts, which will make artificial neural networks properly constrained. I am not against the development of such advanced systems, provided that it is carefully tested that it's still under our control.

On the contrary, in my opinion, is that the operational hardware of today's systems make use of processor based, then GPU based, then an emulation of neural network hardware based on the neurological structure of the brain, see http://researchweb.watson.ibm.com/cogni ... QPvHxNFq-d. Small scale AIs are achievable, with limited synaptic capabilities. With the current electronics capability we have, I think it still be unfeasible to develop hardware that would match the human intelligence. Much research needs to be done for neuromorphic hardware using the right materials (like memristors) to fully match, and possibly surpass the human brain.

Surely a sentient machine would be useless. Isn't the point of making machines do tedious work that they won't get bored? Why create a machine that's capable of becoming bored? That would put us back to square one. What happens when the robots become unionized?

I should get a job like that. I can predict what I want and no one will fault me if I'm wrong because it's impossible to predict the future anyway.

Sometimes predicting the future makes for self fulfilling prophecies.

For good information on this topic I recommend the following blogs:

http://rebelscience.blogspot.com/

http://entersingularity.wordpress.com/

I can't speculate on the future of AI any better than these guys can.

The Artilect War: Cosmists Vs. Terrans: A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines by Hugo de Garis

Hugo-De-Garis/e/B001KJ0ISYhttp://www.amazon.com/

been reading this kind of stuff for years...lol

look him up on YT if you want a good scare.

One way to solve the issue to singularity (and our doom) is to prioritize humans to catch up first. We should upgrade our intelligence first before building super intelligent machines. One way is for a direct connection of an artificial neural network hardware on a human brain and thus enhancing the human's overall thinking capacity through brain-computer interfaces, which is under active research nowadays.

The bottomline is that we must focus our efforts first to 'directly' upgrade our own intelligence by augmenting computers with our brains, then after that then its safe to produce more intelligent independent AI systems.

We should think and improve of ourselves first before passing down our most distinguished feature (intelligence) of humans to machines.