From reading (not viewing the videos), it appears to be an [artificial] neural net implemented in hardware. So, it's a novel, brain-like architecture for multi-core, programmed in the same way as neural nets (i.e. 'trained')
I have doubts about [artificial] neural nets, since they never really went anywhere, and I don't think scale or hardware implementation will automatically change that.
But playing with novel hardware can give novel perspectives, leading to new insights - and IBM is quite right that our present architectures seem to have stalled. That is, apart from GPGPUs.
Comments
From reading (not viewing the videos), it appears to be an [artificial] neural net implemented in hardware. So, it's a novel, brain-like architecture for multi-core, programmed in the same way as neural nets (i.e. 'trained')
I have doubts about [artificial] neural nets, since they never really went anywhere, and I don't think scale or hardware implementation will automatically change that.
But playing with novel hardware can give novel perspectives, leading to new insights - and IBM is quite right that our present architectures seem to have stalled. That is, apart from GPGPUs.
I have doubts about neural nets, since they never really went anywhere
That's an ironic statement for a blob of mushy neural nets to make
I'm surprised that you're right that "neural nets" may refer to biological brains: http://en.wikipedia.org/wiki/Neural_network
His brain is surely not limited to three layers of neurons.
not ironic. and actually proves a point