How Computers Can THINK FOR THEMSELVES
Techquickie
·Techquickie
·2019-05-06
·
908 words · ~4 min read
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so at some point after robots take all of our jobs they'll eventually decide
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that the world just really doesn't need humans that badly and will do away with
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us all together but then haven't you ever wondered how
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this incredibly rosy vision of the future will come to pass
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well i can tell you that it'll probably involve neural networks now we tend to
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think of artificial intelligence as the
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capability of a computer to make sensible decisions on its own kind of
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like a human and as it turns out it's more human-like than you actually might
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think computer scientists and programmers have modeled the way that
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computers arrive at their decisions after our own brains at least to a point
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so inside your nervous system your neurons are arranged in such a way that
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after information is taken in one group of neurons will pass that information to
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the next group in a way that depends on what signals the previous group was
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sending okay so for example then if neurons in
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your muscles sense that they're working really hard because you're going out for
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a run those neurons send out signals through a
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specific pathway that ultimately results in your brain telling your diaphragm to
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breathe harder rather than you know send a message to your hair to grow
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faster and although the way that our neurons
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work is immensely more complicated than
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an artificial neural network made up of ones and zeros the neural networks used
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in machine learning are at least loosely based on the workings of your brain
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instead of neurons made up of dna and cytoplasm though a software neural
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network uses processing nodes stacked
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into many different layers so a node in
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the first layer which initially receives the data
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weights all of its incoming connections by multiplying each piece of data by a
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certain factor depending on the connection it then adds these numbers
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together and if it's above a certain threshold the node sends it along to a
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node in the next layer and then so on and so forth
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once the data gets to the end of the neural network the network has
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effectively made a decision based on
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weighting this combined and then recombined data across many of these
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layers now all of this probably sounds quite
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abstract but basically neural networks use thousands or
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millions of these nodes to turn those numbers into something useful
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of course even the most sophisticated neural network isn't going to know right
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off the bat how to differentiate a picture of a burrito from a body pillow
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just like a baby doesn't pop out of the womb already knowing how to speak the
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king's english so instead developers train a neural
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network by feeding it lots and lots of both relevant and irrelevant inputs so
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for something like a self-driving car it might be a ton of images including some
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of pickup trucks as the data gets fed into the network
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developers monitor its behavior and then adjust the weights on the processing
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nodes until the desired output is reached and the system can eventually
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quickly differentiate a truck from a bicycle or baby stroller or stationary
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object or what have you the whole idea is very general purpose
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so it can actually be adapted to lots of different situations
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other than the more well-known examples that we've already discussed like image
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recognition and autonomous vehicles neural networks have been used for
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everything from filtering spam out of email to training computers to play
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video games nearly as well as professional level human players
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of course training a computer to think is more complicated than getting it to
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run a bunch of pre-defined instructions and as such training a neural network
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can be quite time consuming and depending on the application requires
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some pretty powerful hardware in fact the computers in current self-driving
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cars are not only more powerful than your standard desktop pc they are
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notorious battery hogs but as processors
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become more efficient and our training methods become less tedious we fully
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expect that one day our cars and spam
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filters might be even smarter than we are so even if they do decide to turn on
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us take over the world and rule in tyranny at least we won't have to deal
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with scam emails from nigerian princes or terrible drivers anymore
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