[tt] advanced nanotechnology - 3 new articles

Eugen Leitl <eugen at leitl.org> on Sun Oct 14 09:41:24 UTC 2007

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Date: Sun, 14 Oct 2007 03:39:35 -0400
To: eugen <eugen at leitl.org>
Subject: advanced nanotechnology - 3 new articles
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"[2]advanced nanotechnology" - 3 new articles

    1. [3]Cyberdome 8500
    2. [4]Numenta system central to image analysis project
    3. [5]Atomic orbitals change at the interface of certain types of
       nanostructures
    4. [6]More Recent Articles
    5. [7]Search advanced nanotechnology

[8]Cyberdome 8500

   [9]CyberDomes with any arbitrary screen size can be developed and it
   is
   possible to have high resolution distortion free life size immersive
   visualization for many interactive real time applications.
   cyberdome
   Cyberdome that 8.5 meters in diameter
   [1563385094_dd4f848088.jpg?v=0]
   Here is the gear behind the screen
   []
   Here is the projectors for the cyberdome
   [10][advancednano?i=ZFVXUTtW] [11][advancednano?i=kyqgbT4c]
   [12][advancednano?i=qRaWQRVh] [13][advancednano?i=ccAaW33d]
   [14][advancednano?i=6ztvSR2M] [15][advancednano?i=roPwDjrB]
   [16][advancednano?i=mcxXxuge] 
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[22]Numenta system central to image analysis project

   [23]The Defense Advanced Research Projects Agency (DARPA) and the
   National Geospatial-Intelligence Agency awarded Lockheed Martin a
   $4.9-million, 18-month program to use brain-inspired technologies to
   develop a system that will speed an image analyst's job by 100 times.

     Called Object Recognition via Brain-Inspired Technology (ORBIT),
     the system will use electro-optical (EO), light detection and
     ranging (LIDAR), and brain-inspired technologies to automatically
     recognize objects in urban environments from ground and aerial
     surveillance. ORBIT will fuse commercial airborne EO and LIDAR
     sensor data into a three-dimensional, photorealistic model of the
     landscape. Its brain-inspired object-recognition technology will
     automatically generate lists of recognizable imagery, like
     mailboxes and dumpsters.
     "ORBIT's automated, 3D, object-recognition capability will help
     eliminate the time analysts spend manually identifying objects,"
     said Dr. Peter Bilazarian, ORBIT program manager, Lockheed Martin
     Advanced Technology Laboratories (ATL). "We think ORBIT will reduce
     analysis time of one square kilometer of imagery from 1,300 hours
     to less than 10 hours. Faster turnaround time for analysts means
     more timely and accurate mission planning."
     Central to ORBIT are three complementary brain-inspired and
     machine- learning approaches to object recognition: Numenta's
     Hierarchical Temporal Memory technology, which performs invariant
     pattern learning based on a model of the brain's neocortex; a
     standard model of the brain's visual cortex for spatial
     recognition; and a computer-vision technology, which mimics the
     process of human vision and recognition.

   [24][advancednano?i=RnI4FVzs] [25][advancednano?i=RpwNCGtJ]
   [26][advancednano?i=0MpsGFfO] [27][advancednano?i=a18ko8Av]
   [28][advancednano?i=K7bPJFwP] [29][advancednano?i=XkC6IsOI]
   [30][advancednano?i=JW8HY4bw] 
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[36]Atomic orbitals change at the interface of certain types of
nanostructures

   [37]Until now, materials science researchers believed that an
   electron's charge and spin influenced the characteristics of
   conventional bulk materials. Atomic orbitals, which consist of the
   patterns of electron density that may be formed in an atom, were
   previously thought to be inactive.

     Chakhalian's work has focused on what happens at the interface
     between two different materials - for instance, superconductors and
     ferromagnets, two materials with properties that were thought to be
     incompatible with each other in bulk. In 2006, he and his
     colleagues created the first high-quality material to have both
     superconducting and ferromagnetic properties, and they used that
     material in this experiment.
     The researchers forced a high-temperature superconducting material
     containing copper oxide and a ferromagnetic material containing
     manganese oxide into unusual quantum states. Using a technique
     called resonant X-ray absorption, they were able to "look" at the
     atomic orbitals at the interface and determine their symmetry in a
     non-destructive way.
     They found that the atomic orbitals changed the nature of their
     symmetry at the interface and created a covalent bond between the
     copper and manganese atoms. This bonding does not exist in the bulk
     of the individual materials
     "When you merge these two materials, the atomic orbitals at the
     interface become important. They start contributing to the
     electronic properties of the material," Chakhalian said. "This
     opens a new way of designing materials. We can design quantum
     materials with engineered physical properties."
     The discovery may allow researchers to manipulate nanoscale
     superconductivity at the interface - opening the possibility of
     creating room-temperature superconductors.
     Generators that use superconducting materials generate electricity
     extremely efficiently, at half the size of conventional generators.
     General Electric estimates the potential market for superconducting
     generators to be between $20 billion and $30 billion over the next
     decade.

   [38][advancednano?i=A2gfqUIN] [39][advancednano?i=YNosUKY7]
   [40][advancednano?i=gfUjV0fb] [41][advancednano?i=B2zDhl2Z]
   [42][advancednano?i=hiFtIMj6] [43][advancednano?i=Q3ObVAs9]
   [44][advancednano?i=a5IeA1zr] 
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   nanostructures'

More Recent Articles

     * [50]Future and past productivity improvement
     * [51]Applying metamaterial invisibility for electromagnetic
       wormholes
     * [52]50-100 nanometer nanodiamond particles good for drug delivery
     * [53]New force-fluorescence device measures nanometer-scale motion
       and pico-newton forces
     * [54]Suggestions for optimizing IQ test performance

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Eugen* Leitl <a href="http://leitl.org">leitl</a> http://leitl.org
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