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In its early years, information theory was dominated by research on error-correcting codes: How do you encode information so as to guarantee its faithful transmission, even in the presence of the corrupting influences engineers call "noise"? Recently, one of the most intriguing developments in information theory has been a different kind of coding, called network coding, in which the question is how to encode information in order to maximize the capacity of a network as a whole. For information theorists, it was natural to ask how these two types of coding might be combined: If you want to both minimize error and maximize capacity, which kind of coding do you apply where, and when do you do the decoding?

Scientists have overcome a major hurdle facing quantum computing: How to protect quantum information from degradation by the environment while simultaneously performing computation in a solid-state quantum system.

If you're interested in business and marketing, these 33 apps from Docstoc are absolute must-haves!

Quest Software could give Dell the software boost it needs to diversify away from PCs.

The social network's new photography app appears to replicate many features of Instagram which it is buying for $1bn.

Artist and designer Ollie Palmer explains how he has developed technology that he hopes will allow him to stage an "ant ballet".

The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge. - Stephen Hawking

Don’t document the problem, fix it. - Atli Björgvin Oddsson