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Device for making toast that scans the bread surface with a digital spectroscope and a MASER. The MASER beam is focused down to a very small spot, at thousands of watts/cm2. It begins in the centre of the bread and generates a random walking path from there.
The spectroscope takes a reading from
the path directly behind the MASER to determine level of burntitude. This information is passed into a neural network and expert machine which uses heuristics to weight the random number generator in favour of an optimised next step in the random path, in order to cover the entire area of the bread in the shortest time.
Over time and repeated toastings, it learns to flash-scan a piece of bread into hot, perfectly browned toast in mere seconds.
Toaster Calibration
Toaster_20Calibration
There could be some tie-ins with this other idea. [Wrongfellow, Aug 18 2010]
[link]
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It smells deliciously like a pun. |
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They could be alloy toasters, but I didn't think being shiny was a sufficient advance. |
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Um, did a little - umm, did I lie? |
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And if they pop out too early, to reinsert them, a re - pop in switch? |
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He always sounds so precocious. |
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If you like oral hygiene, you may be interested to know that screw-up coloured fragile lipstick expels halitosis. |
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or you can just pull the toast out when it's ready and feed it with a spoonful of sugar, and cinnamon. |
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dangerously close to a pun existing before the idea... + |
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+ I love puns for breakfast!! |
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I heard his auntie dissed the establishment's Aryan system. |
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[marklar] That would have been useful to Ghandi, the barefoot paragon of Indian independence, who in his later life was beset by bunions, tooth decay and general ill health, making him a super calloused fragile mystic hexed by halitosis |
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I think such a system would never generate perfect toast but an asymtptotic curve - in advanced states of toastiness, the random path would be more and more likely to bring the MASER over previously toasted areas and there will always be a few remaining spots left raw. For the AI, the variable determining evolutionary fitness of a given algorithm could be the steepness of the initial curve, and possibly the ultimate distance from perfection at time x when the coffee is ready. |
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that's pseudorandom bub. [+] |
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//information is passed into a neural network and expert
machine which uses heuristics to weight the random number
generator in favour of an optimised next step// I like that
part as much as the title. |
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