PCM brings nothing to the so-called cognitive chip. Even if the cognitive chip made sense (which it does not), its value would be in the connectivity per sq inch (i.e., number of "synapses"), not the storage/counting media.
Just to keep things straight, almost all neurons send OUT only one signal along one axon. The axon branches at the end and connects to the dendrites of many other neurons. Neurons may have thousands of dendrites receiving signals from other neurons (or receptors) Axons and synapses are like PCM, there is no possible way they could actually work :-)
I can't help but find it a bit odd that IBM is still trying to duplicate probabilistic, over-complete, non-orthogonal, impulse integration systems using perfectly ordered and organized grids of binary devices. Might as well write the whole thing in software at that point. Biological neurons don't send signals in one or two defined routes, rather many directions randomized from neuron to neuron often including back to the neurons that originated the signal. It is interesting to note, though, that their learning algorithm does strengthen or "prune" pathways based on use.
Mr rbtbob-I am aware, and I tried to cover at least one application of a programmable resistance device, the PCM, in neural applications with the work I reported in:-
Here is my quote from PCM PR#4 that I think is applicable in light of the present stagnant state of commercial PCM product development
“If, going forward, the dreams of neural network emulation are to be fully realized, the challenges to PCM device designers in terms of precision, discrimination and scaling will exceed, by far, anything that has been accomplished to date.”
A quote that is also applicable to all programmable resistance devices, including, CBRAM and ReRAM. Also, with respect, I think you should also be reminded that for the synapse, timing between pre- and post-synaptic pulses as well as conduction change as a function of usage is important.
Naah, even Apple II's 1Mhz processor could beat humans at "Pong" and read a written letter 7! This is just another scam on the taxpayer, and IBM should be ashamed! The so-called cognitive computer is nothing more than an underpowered curve-fitting device that gets stuck in local extrema, as IBM knows very well. A multi-core CPU with enough DRAM beats IBM's monstrosity in any task, any time.
Replay available now: A handful of emerging network technologies are competing to be the preferred wide-area connection for the Internet of Things. All claim lower costs and power use than cellular but none have wide deployment yet. Listen in as proponents of leading contenders make their case to be the metro or national IoT network of the future. Rick Merritt, EE Times Silicon Valley Bureau Chief, moderators this discussion. Join in and ask his guests questions.