Where Human Brains Far Surpass Computers
Andrea Kuszewski
2012-02-22 00:00:00
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This is basically the traditional reductionist perspective: break the problem down into small pieces and analyze them, and then build a model of the whole as a combination of many small pieces. There are neuroscientists working on these AI problems—replicating and studying one neuron under one condition—and that is useful for some things. But to replicate a single neuron and its function at one snapshot in time is not helping us understand or replicate human learning on a broad scale for use in the natural environment.

We are quite some ways off from reaching the goal of building something structurally similar to the human brain, and even further from having one that actually thinks like one. Which leads me to the obvious question: What’s the purpose of pouring all that effort into replicating a human-like brain in a machine, if it doesn’t ultimately function like a real brain?

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This is also Part 2 of a series. To read Part 1, click HERE.