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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?

Simulations of reality would require less memory on a quantum computer than on a classical computer, new research has shown. The study demonstrates a new way in which computers based on quantum physics could beat the performance of classical computers.

Can anyone turn around HP or is it all looking a bit like too little too late?

Web-based software dashboard helps facility managers assess the potential impact of settings changes or daylight harvesting applications.

A giant touchscreen patient aids surgical operations

The pioneers shaking up the country's tech industry

I am not out to destroy Microsoft, that would be a completely unintended side effect. - Linus Torvalds

The most overlooked advantage to owning a computer is that if they foul up, there's no law against whacking them around a little. - Eric Porterfield