zuckmitnick

Yeah, that's nice. I will, when I need your help. Thx

This means something like 'reasoning'.

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.

This is really challenging. I think my theory is completely new, and I'm not sure if it could work, so for about 4 years I've been working on this alone. If I can prove its correctness by creating my first workable demo, I will start my startup and I will need many people's help. I'd be very happy if guys like you can join me! Cuz my math is poor. LOL.

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.

Well, most AI techs that exists right now are built upon rules. A very early example may be the chess machine "deep blue", who defeated the world champion Kasparov. A recent one could be Google's virtual brain, who "understood" the concept "cat" by analysing 10 million random frames from YouTube. Another example may be the one S4M mentioned, I'm not familiar with that.

While Google's virtual brain "understood" something, it still doesn't has the ability of analysing. This is an example of unsolved problems.

Yeah, that is surely a step forward. But simulating a worm is way too far from simulating a human brain. And also I'm not sure if this is a right path (Just IMHO).

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. :)

AI is not an explicit subject like math and physics, which has solid principles. It's just about searching for a way of providing the machines an ability to "think", whatever the way you choose.

Different 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.