by vox_mundi » Mon 02 Mar 2015, 20:31:35
Evolving robot brains$this->bbcode_second_pass_quote('', 'R')esearchers are using the principles of Darwinian evolution to develop robot brains that can navigate mazes, identify and catch falling objects, and work as a group to determine in which order they should exit and re-enter a room. The projects are all part of a larger effort to create artificial brains that think, plan, and predict, and will ultimately be conscious.
Adami's group uses genetic algorithms operating on a mathematical framework called Markov networks to model a large population of robot "brains" working on a particular task, like finding the exit to a maze. The brains that perform the task best have the largest number of simulated "offspring." The researchers run this genetic algorithm over thousands, and sometimes hundreds of thousands of generations, and then download the surviving brains into robots that execute the tasks in the outside world.
One of the more complicated tasks the team's robots have worked on so far required multiple machines to figure out and remember in which order they would leave a room. The robots were then asked to come back into the room, either in the same order as they left, or in the reverse order.
"This is difficult because the robots have to ID each other," Adami said. After the genetic algorithm had run its course, the robots seemed to solve the problem by indicating roles to each other with certain motions.
Adami believes that evolving robot brains in complicated worlds that force them to interact with each other is the best path toward self-aware intelligence.
"When robots have to make models of other robots' brains, they are thinking about thinking," he said. "We believe this is the onset of consciousness." IARPA LAUNCHES PROGRAM TO DEVELOP A SUPERCONDUCTING COMPUTER$this->bbcode_second_pass_quote('', '.').. “The power, space, and cooling requirements for current supercomputers based on complementary metal oxide semiconductor (CMOS) technology are becoming unmanageable,” said Marc Manheimer, C3 program manager at IARPA. “Computers based on superconducting logic integrated with new kinds of cryogenic memory will allow expansion of current computing facilities while staying within space and energy budgets, and may enable supercomputer development
beyond the exascale.”
... >100,000 x library of congress/secWhile, in the past, significant technical obstacles prevented serious exploration of superconducting computing, recent innovations have created foundations for a major breakthrough. These include new families of superconducting logic without static power dissipation and new ideas for energy efficient cryogenic memory. A superconducting computer also promises a simplified cooling infrastructure and a greatly reduced footprint.