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I put the singularity bit in to make it relevant for those who are non-technical. This experiment is significant because it shows that large artificial neural n

I put the singularity bit in to make it relevant for those who are non-technical. This experiment is significant because it shows that large artificial neural networks can be made to work. People have tried and failed at this for decades. This technigue was "discovered" by geoff hinton at the university of toronto in 2005. However, nobody at tried (or maybe got enough funds) to try it this scale. If this continues to work at larger and larger scale, this would be a machine learning technique that can work accurately on tasks that are hugely important to society - accurate speech recognition - human level compuer vision (make human manual labor redundant)

Chlorus 14y ago
"I put the singularity bit in to make it relevant for those who are non-technical." Yeah, I'm sure there's a lot of those on HN...I'd expect this kind of crap in something like Wired, but not here.
- nik61 14y ago
  This is a Troll response, and gratuitously insulting. HN readers may be broadly technical (or not, who knows?) but few of them have the insight into AI provided here, especially if they got their IT experience or education during the AI Winter referenced above.
iuguy 14y ago
Even so, the singularity bit is editorializing a link to a white paper on an equally significant scale. Nowhere in the link is the singularity referenced. As for the point about it being for non-technical people, I don't understand where you're coming from. This is hacker news. If people don't understand it and don't upvote it, then that's their problem, not yours.
coldarchon 14y ago
You have absolutely no idea I guess. Let's have a look at the human brain. 1.000.000.000 neuron cells in the brain which can have 200.000 connections with 2 different states. The number of different states of the brain exceeds the number of atoms in the universe, we are speaking of 2 to the power of 200.000.000.000.000 compared to 10 to the power of 82. I guess you can calculate this, right? And you compare this to 16.000 cores?

Chlorus 14y ago

"I put the singularity bit in to make it relevant for those who are non-technical." Yeah, I'm sure there's a lot of those on HN...I'd expect this kind of crap in something like Wired, but not here.

nik61 14y ago
This is a Troll response, and gratuitously insulting. HN readers may be broadly technical (or not, who knows?) but few of them have the insight into AI provided here, especially if they got their IT experience or education during the AI Winter referenced above.

iuguy 14y ago

Even so, the singularity bit is editorializing a link to a white paper on an equally significant scale. Nowhere in the link is the singularity referenced. As for the point about it being for non-technical people, I don't understand where you're coming from. This is hacker news. If people don't understand it and don't upvote it, then that's their problem, not yours.

coldarchon 14y ago

You have absolutely no idea I guess. Let's have a look at the human brain. 1.000.000.000 neuron cells in the brain which can have 200.000 connections with 2 different states. The number of different states of the brain exceeds the number of atoms in the universe, we are speaking of 2 to the power of 200.000.000.000.000 compared to 10 to the power of 82. I guess you can calculate this, right? And you compare this to 16.000 cores?