The act of making something out of nothing requires the pattern recognition system to make far flung connections.
"I started to realize the amount of time I was spending trying to compensate for the fact that I didn't know what investments needed to be made, and I didn't have the pattern recognition to know what was coming around the corner, " he says.
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Computers can recognise a well-folded protein when presented with one, but actually finding it calls for the sort of pattern recognition and lateral thinking that they struggle with.
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The work of Herbert Simon and others has shown that pattern recognition is among the most powerful, perhaps the foremost mechanism of successful problem solving.
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But as was pointed out in this recent blog, the brain actually has two different overarching pattern recognition systems at its disposal: the extrinsic and intrinsic.
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Solving the visual riddles involves pattern recognition skills that many people have, but that are not widely prized.
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Because as you saw, which, again, is part of the pattern, when there was a recognition by Republicans that this had to be done because the public insisted on it, there was a kind of slightly angry effort to have a scalp thrown in by having non-germane, irrelevant pay-fors attached to it.
Pattern recognition is the phrase I hear most often among VCs when describing their decision-making process.
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There are ways to systematically sort through the fire hose of data based on applying the principals and discipline of pattern recognition.
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It builds the patterns up slowly, one block at a time, but rarely does it require the kind of intuitive BIG PATTERN RECOGNITION that macroscopic learning demands.
Because the transforming and the filtering are done optically, this mechanism for pattern recognition is fast, allowing an image to be tested for the presence of a target in a single step.
This happens because the human brain contains a giant pattern recognition system.
The premise is that humans are vastly superior to computers at tasks such as pattern recognition, says Peter Cohen, director of the project at Amazon, so why not let software take advantage of human strengths?
The electronic nose is an array of nano-scale gas sensors--the maximized surface area of the nano-particles allows the most gas to pass over them--along with pattern recognition technology that can create a digital fingerprint (or noseprint, as the case may be) of specific smells.
Pattern recognition is nothing more or less than the ability to lump like with like.
Looking back on his inventions, a common theme since that first music composer has been pattern recognition which he believes is the essence of human thinking and the essence of the better-than-human artificially-enhanced intelligence that we are evolving toward.
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The good ones have talented product managers and product visionaries who are pattern recognition virtuosos.
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The handheld device, called MelaFind, would use bursts of light and pattern recognition software to help physicians better decide which moles are so dangerous looking they must be immediately removed so that a biopsy can be done.
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Imagine how different the world would be if we could not only use smart phone and tablet computers and the like to deliver every kid the education they deserve and if that education was built around this kind of pattern recognition.
So important is pattern recognition to our survival, when we correctly recognize a pattern, the brain gives us a squirt of the neurochemical dopamine.
Right now a teacher must score the map by hand, but Stevens is close to finishing a piece of pattern-recognition software that electronically scores those maps.
The electronic tongue consists of an array of liquid sensors (electrodes coated with conductive polymers) coupled to pattern-recognition technology that can distinguish particular flavors for taste studies.
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