Discuss on HN: The State of Artifical Intelligence
Smart machines have been a promise of Computer Science for a while now. These days though I often find myself lost around what has actually been achieved.
Which problems have been solved, where has meaningful progress been made, and what do we desire but still seems far off?
Would someone care to start with an overview?
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[ 2.9 ms ] story [ 31.1 ms ] threadDifferent people understand the word "think" differently. Eg, for most people, AI is about algorithms, while for me, it is about recreating a human brain.
So, an overview is too complicated and multifarious, at least for me.
While Google's virtual brain "understood" something, it still doesn't has the ability of analysing. This is an example of unsolved problems.
Eg, you ask the virtual brain 'why is the sky blue?' 'why is the sky sometimes grey?', and it may not tell you why.
Google's virtual brain can 'recognize' things from the images, but it cannot handle the logic problems or something like that.
[1] http://news.ycombinator.com/item?id=4208454
Luckily, I've been working on the framework of simulating the human brain and I've got a theory. In the next few weeks I'll be working on realizing this framework and release a demo. If this works, I will post it on HN. :)
My major is software engineering. My background is not about neuropsychology but I have very much interested in it. I did it mainly in a psychological way and on a neuropsychologic base.
Sorry to reply you so late. I've been busy these few days and didn't get time for HN.