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Comment on IBM Chip Processes Data Similar to the Way Your Brain Doesparent

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I too would like to see a decent comparison. Also what's ultimately going to matter is up-front cost per synapse and ongoing cost per synapse-second (from power consumption). That's really all that matters if you are planning to make a cluster out of them.

Of course, there could be some new and interesting uses in embedded devices where sheer throughput doesn't matter so much as total power usage, for moderate processing power. For example, the AI in Roomba and similar robot vacuums is pretty rudimentary, so appliances like that could maybe get a boost from this.

From the article "When running the traffic video recognition demo, it consumed just 63 milliwatts of power. Server chips with similar numbers of transistors consume tens of watts of power" and "laptop that had been programed to do the same task processed the footage 100 times slower than real time, and it consumed 100,000 times as much power as the IBM chip" So if those statements are true I would say it is about 10,000 to 100,000+ more energy efficient. That is a rather large claim so we would need to see more proof...

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