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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?

Multi-hop wireless networks can provide data access for large and unconventional spaces, but they have long faced significant limits on the amount of data they can transmit. Now researchers have developed a more efficient data transmission approach that can boost the amount of data the networks can transmit by 20 to 80 percent.

The weekly roundup of Generation Y and student resources you may have missed.

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It is easier to change the specification to fit the program than vice versa. - Alan Perlis

Unix never says "please." - Rob Pike