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Howard Yee

Software Engineer @ Rubenstein Technology Group,

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Can technology replace human intelligence?

This week in my Bioelectricity class we learned about extracellular fields. One facet of the study of extracellular field I find interesting is the determination of the field from a known source (AKA the Forward Problem) versus the determination of the source from a known field (AKA the Inverse Problem). Whereas the forward problem is simple and solutions may be obtained through calculations, the inverse problem poses a problem. The lack of uniqueness to the inverse problem means the solution requires interpretation, which may be subjective. We may also apply a mechanism for the interpretation; this mechanism is known as an AI. However, this facet of AI (document classification) is only the surface of the field.

Damon Horowitz gave a recent presentation at TEDxSoMa called “Why machines need people”. In it, he says that AI can never approach the intelligence of humans. He gives examples of AI systems, like classification and summarization. He explains that those systems are simply “pattern matching” without any intelligence behind them. If true, perhaps the subjective interpretation of inverse problems is welcomed over the dumb classification. Through experience, the interpreters may have more insight than one can impart on an algorithm.

However, what Damon failed to mention was that most of those AI systems built to do small tasks is known as weak AI. There is a whole other field of study for strong AI, whose methods of creating intelligence is much more than “pattern matching”. Proponents of strong AI believe that human intelligence can be replicated. Of course we are a long way off from seeing human-level AI. What makes human intelligence hard to replicate? Can it be simulated? What if we created a model of the human brain, would it be able to think?

Related Videos (not on Ted):
“Why Machines need People”
http://www.youtube.com/watch?v=1YdE-D_lSgI&feature=player_embedded

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    Mar 11 2012: Hmm. Could just be a matter of time, for sure. If you think about it, context based humans or rule based machines - regardless, we're all just a different collection of energy/electricity. It's a matter of engineering a machine that uses/intakes enegry that's most connotative to what makes human experience possible. And perhaps, despite all of the serendipity and randomness of human emotion/experience, there's some underlying pattern to it all. Revealing that pattern may clear the way for us to mimic it in robotics.

    However, humanity still stares at itself in the mirror as if it's just meeting itself for the first time. And until we've transcended this state, I'm sure our robots will mimic this limited understanding of ourselves.

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