• DocumentCode
    144724
  • Title

    Blue Brain Technology: A Subway to Artificial Intelligence

  • Author

    Sharma, Shantanu ; Payal, Nitisha ; Kaushik, Akhil ; Goel, Nishith

  • Author_Institution
    Dept. of IT, MIET, Meerut, India
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    1106
  • Lastpage
    1109
  • Abstract
    Blue Brain is the name of the world´s first virtual brain. A Virtual machine is one that can function as, a very appropriate application of an Artificial Intelligence human brain. Reverse engineering is a foremost concept of implementing the human brain and recreate it at the cellular level inside a complete simulation. The four major motivations behind the Blue Brain Technology are treatment of brain disfunctioning, scientific curiosity about consciousness and human mind, a bottom up approach towards building thinking machine and databases of all neuroscientific research results and related past stories. There are three main steps 2to build the virtual brain are data acquisition, simulation and visualization of results. The mission is undertaking the Blue Brain technology is to gather all existing knowledge of the brain, raise the global research efficiency of reverse engineering and to build a complete theoretical framework.
  • Keywords
    artificial intelligence; bioinformatics; brain models; data acquisition; data visualisation; reverse engineering; virtual machines; Blue Brain technology; artificial intelligence human brain; data acquisition; reverse engineering; simulation; virtual brain; virtual machine; visualization; Artificial intelligence; Brain modeling; Morphology; Nanobioscience; Neurons; Supercomputers; 3D; Blue Gene; Electrophysiology; GB; Morphology; Nanobots; Neurosciences; Neuroscientific;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.226
  • Filename
    6821571