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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?

For those who study earthquakes, one major challenge has been trying to understand all the physics of a fault -- both during an earthquake and at times of "rest" -- in order to know more about how a particular region may behave in the future. Now, researchers have developed the first computer model of an earthquake-producing fault segment that reproduces the available observations of both the fault's seismic and aseismic behavior.

Legendary SAP co-founder Hasso Plattner discusses the limits of today's technology and why in-memory computing will change everything -- nevermind what Larry Ellison says about it.

So, the OEMs make money from installing crapware onto PCs, and now Microsoft is making money removing it. Makes you realize why more and more people are buying Apple hardware.

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I didn’t work hard to make Ruby perfect for everyone, because you feel differently from me. No language can be perfect for everyone. I tried to make Ruby perfect for me, but maybe it’s not perfect for you. The perfect language for Guido van Rossum is probably Python. - Yukihiro Matsumoto, aka Matz, creator of Ruby

Computing is not about computers any more. It is about living. - Nicholas Negroponte