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The new device would also allow "power proportional computing." For example, Web server farms, such as those used by Google, consume an enormous amount of power - even when there are low levels of user activity - in part because the server farms can't turn off the power without affecting their main memory.

A study appearing Feb. 10 in Science Express calculates the world's total technological capacity to store, communicate and compute information, part of a Special Online Collection: Dealing with Data. The study by the USC Annenberg School for Communication & Journalism estimates that in 2007, humankind was able to store 2.9 × 1020 optimally compressed bytes, communicate almost 2 × 1021 bytes, and carry out 6.4 × 1018 instructions per second on general-purpose computers. General-purpose computing capacity grew at an annual rate of 58%. The world's capacity for bidirectional telecommunication grew at 28% per year, closely followed by the increase in globally stored information (23%). Humankind's capacity for unidirectional information diffusion through broadcasting channels has experienced comparatively modest annual growth (6%). Telecommunication has been dominated by digital technologies since 1990 (99.9% in digital format in 2007), and the majority of our technological memory has been in digital format since the early 2000s (94% digital in 2007).

As computing power continues to move from the desktop to portable devices, the nature of communications networks will change radically. A network in which devices are regularly being added and removed, and where the strength of the connections between the devices fluctuates with their movement, requires much different protocols from those that govern relatively stable networks, like the Internet.

The founder of Palm, Jeff Hawkins, solves the mystery of Artificial Intelligence and presents his theory at the RSA Conference 2008. He gives a brief tutorial on the neocortex and then explains how the brain stores memory and then describes how to use that knowledge to create artificial intelligence. This lecture is insightful and his theory will revolutionize computer science.