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'Wireless' humans could form backbone of new mobile networks | KurzweilAI - 0 views

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    Members of the public could form the backbone of powerful new mobile Internet networks by carrying wearable sensors, according to researchers from Queen's University Belfast.
thinkahol *

The World's Technological Capacity to Store, Communicate, and Compute Information | Kur... - 0 views

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    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).
Duane Sharrock

Scientists investigate using artificial intelligence for next-generation traffic control - 0 views

  • The research carried out by the University of Southampton team has used computer games and simulations to investigate what makes good traffic control. This work has shown that – given the right conditions – humans are excellent at controlling the traffic and can perform significantly better than the existing urban traffic control computers in use today.
  • The Southampton researchers have now developed 'machine learning' traffic control computers that can learn how to control the lights like a human would and even learn their own improved strategies through experience.
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    The Southampton researchers have now developed 'machine learning' traffic control computers that can learn how to control the lights like a human would and even learn their own improved strategies through experience.
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