[Freddy]

Pulled this from the news feeds, found it interesting.  Google again.  They have done so much in a short time haven't they.

Inside Google’s secretive X laboratory, known for inventing self-driving cars and augmented reality glasses, a small group of researchers began working several years ago on a simulation of the human brain.

Andrew Y. Ng, a Stanford computer scientist, is cautiously optimistic about neural networks.  There Google scientists created one of the largest neural networks for machine learning by connecting 16,000 computer processors, which they turned loose on the Internet to learn on its own.

Full story here...

[Data]

Very interesting read there Freddy.

Something in the back of my mind is telling me that until a large company with a vast amount of resources behind it start to seriously work on this kind of project, true Ai will never happen.

You know what, I think Google might be on to something.

[TheMikh28]

16,000 cores.

Assuming that each individual core represents the computing power of the average personal computer, and assuming that processing power of the average personal computer doubles every 18 months, we'll have personal computers capable of that kind of processing by 2033!

Just a random thought.

[Art]

Well, taking from page 2...

“The Stanford/Google paper pushes the envelope on the size and scale of neural networks by an order of magnitude over previous efforts,” said David A. Bader, executive director of high-performance computing at the Georgia Tech College of Computing. He said that rapid increases in computer technology would close the gap within a relatively short period of time: “The scale of modeling the full human visual cortex may be within reach before the end of the decade.”

I personally think we'll (or THEY'LL) get there way before your 2033 projection. (give or take a half decade).

Just a thought and an estimate. True AI...still might be a slight way past there.