Tech News

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 taken Alan Turing's work to its next logical step, translating her 1993 discovery into an adaptable computational system that learns and evolves way much more like our brains do.

Portable network analysis tools are still an important part of datacenter operations.

Box has focused on its user interface with its recent updates, but now is focusing on the other side of the equation---technology management.

Two Asian Android-based micro-PCs offer users an alternative to the British-designed project.

A 6,200 tonne building is being moved 60 metres to make way for the expansion of a railway in Zurich.

Software is like entropy: It is difficult to grasp, weighs nothing, and obeys the Second Law of Thermodynamics; i.e., it always increases. - Norman Augustine

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