Page 132 - Elana Freeland - Under an Ionized Sky
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As  military  contractors,  telecom  corporations  comply  with  the  NSA’s  mandate  that  their
               equipment include a backdoor so that the NSA’s TAO hackers (Tailored Access Operations), the
               “premier hacking ninja squad” with “a catalog of all the commercial equipment that carries NSA
               backdoors,” can then intercept the online orders and bug them:
                   Storage  products  from  Western  Digital,  Seagate,  Maxtor  and  Samsung  have  backdoors  in
               their  firmware,  firewalls  from  Juniper  Networks  have  been  compromised,  plus  networking
               equipment from Cisco and Huawei, and even unspecified products from Dell. . .Spiegel notes
               that the [Snowden] documents do not provide any evidence that the manufacturers mentioned
               had  any  idea  about  this  NSA  activity.  Every  company  spokesperson  contacted  by  Spiegel
               reporters denied having any knowledge of the situation, though Dell officials said instead that the
               company “respects and complies with the laws of all countries in which it operates.” 7
                   In 2014, China removed high-end servers made by IBM and Microsoft and replaced them
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               with local brands.  Had they finally discovered the PROMIS backdoor?
                   Now  we  are  ready  for  a  look  at  supercomputers,  quantum  computers,  and  artificial
               intelligence (AI) as we wonder if they too have secret backdoors.


                                                   SUPERCOMPUTERS


               Supercomputers now digest data 24/7 and map every square inch of planet Earth while programs
               like LifeLog electronically bind every human being to the Smart Grid. The military-intelligence
               penchant  for  mythical  names  fits  well  with  intelligence  machines  like  the  supercomputer  in
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               Brussels 666,   a  partner  in  crime  with  the  U.S.  Naval  Research  Laboratory’s  BEAST  (Battle
               Engagement  Area  Simulator/Tracker),  a  real-time  space  battle  management  simulator  seven
               times faster than a Cray Y-MP for functionally equivalent optimization of 3D code. (BEAST can
               model  32,000  objects  from  inputs  provided  by  sixty-four  satellite  sensors.)  The  U.S.  Army
               Research  Laboratory’s  Excalibur—named  after  King  Arthur’s  magical  sword—is  also  well
               named for technological advantage on the battlefield.
                   Then there is the Big Mac supercomputer at Virginia Tech—home of the mid-latitude-to-
               polar SuperDARN network discussed in Chapter 7—peaking out at 17.6 teraflops, second only
               (at the time of this writing) to Japan’s Earth Simulator with 35.6 trillion calculations per second.
               The ASCI-Q at Los Alamos National Laboratory, built by Hewlett-Packard, weighs in at 13.8
               teraflops, and Lawrence Livermore National Lab’s Sequoia at 16 petaflops. IBM’s Blue Gene
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               processes 10  operations per second, compared to 10  per second of the human neocortex.
                   Moving  toward  quantum  computers  and  artificial  intelligence  (AI),  IBM’s  Neuromorphic
               System  is  reverse  engineered  from  the  human  brain  based  on  a  neurosynaptic  computer  chip
               called  IBM  TrueNorth  developed  by  Cornell  University  and  DARPA’s  Systems  of
               Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program. TrueNorth is capable
               of “deep learning” (16 million neurons, 4 billion synapses) and utilizes low electric power (2.5
               watts)—just like the human brain.

                     A single TrueNorth processor consists of 5.4 billion transistors wired together to create an array of 1 million digital
                     neurons that communicate with one another via 256 million electrical synapses. It consumes 70 milliwatts of power
                     running in real time and delivers 46 giga synaptic operations per second . . . 10


                   SyNAPSE’s intent is to “develop electronic neuromorphic machine technology that scales to
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