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Pattern Recognition

F.gif (959 bytes)inding order in chaos without being overwhelmed is another major sub-division of artificial intelligence.  Most phenomena in the world are analog--in other words, their actions are occur continuously over time.  A great example of analog devices that man has built is the tape recorder--it records every bit of sound every second, millisecond, nanosecond, etc.  Computers, on the other hand, are digital machines in that it records data in absolute 0's and 1's.  Thus, getting a computer to filter the analog world into meaningful digital representations is a major challenge that requires intelligence.  One of the most effective ways to find meaning in data is to find the patterns that represent it.  In this way, the information can be understood by the computer as well as be easier to store with less memory requirements.

The two major divisions of pattern recognition are machine vision and sound.  The first's goal is to get a computer to recognize pictures so that it can recognize objects in its surroundings that would be helpful in robotics.  The latter wants to achieve a similar goal but is a primary concern with companies that want to produce a new means in which a person interacts with a computer by talking.

 
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