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BLUE BRAIN PERFECT WITH ANIMATION FINAL

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BLUE BRAIN PERFECT WITH ANIMATION FINAL

  1. 1. BLUE BRAIN BY AJITHKUMAR
  2. 2. PREFACE This presentation is delivered to you for improving the knowledge about Blue Brain technology which is going to produce a revolution in the artificial intelligence field. We would like to convey our gratitude to our Parents all our friends for encouraging us.
  3. 3. BLUE BRAIN - A MAGIC • The Blue Brain Project is an attempt to create a synthetic brain. • This is done by reverse-engineering the mammalian brain down to the molecular level. • Goals of the project are to gain a complete understanding of the brain and to enable faster development of brain disease treatment. • A Blue Gene super computer is used , hence the name “BLUE BRAIN”.
  4. 4. BRAIN BEHIND BLUE BRAIN
  5. 5. ORIGIN • Henry Markram is the founder of blue brain. • Henry Markram is a professor of neuroscience at the Swiss Federal Institute for Technology (EPFL). • His team has developed a facility that can create realistic models of one of the brain’s essential building blocks. • These models exhibit the behavior of natural brain.
  6. 6. NEED FOR VIRTUAL BRAIN • The man is called intelligent because of the brain. • But the intelligence of brain is lost after the death of a person. • But we can make the brain sustain in the earth even after a person’s death using the technology - Blue Brain. • This can be done by uploading human brain into machine.
  7. 7. BUILD STEPS There are three main steps to building the virtual brain . 1) DATA ACQUISITION 2) SIMULATION 3) VISUALIZATION OF RESULTS
  8. 8. DATA AQUISITION • Data acquisition involves taking brain slices, placing them under a microscope, and measuring the shape and electrical activity of individual neurons. • This is how the different types of neuron are studied and catalogued. • The electrophysiological behavior of neurons is studied using a 12 patch clamp instrument.
  9. 9. 12 PATCH CLAMP
  10. 10. SIMULATION • The simulation step involves synthesizing virtual cells using the algorithms that were found to describe real neurons. • The primary software used by the BBP for neural simulations is a package called NEURON. • The algorithms and parameters are adjusted for the age, species, and disease stage of the animal being simulated. • The ultimate aim of this step is to be able to understand and reproduce human consciousness. • The simulation time step for the numerical integrations is 0.025 ms and the time step for writing the output to disk is 0.1 metre per second.
  11. 11. SIMULATION WORKFLOW • The algorithms and parameters are adjusted for the age, species, and disease stage of the animal being simulated. • Every single protein is simulated and there millions of them in a cell. • A network skeleton is built from all the different kinds of synthesized neurons. • Then the cells are connected together . • Finally the neurons are functionalized and the simulation brought to life.
  12. 12. VISUALIZATION OF RESULTS • RTNeuron is the primary application used by the BBP for visualization of neural simulations. It is written in C++ and OpenGL. • RTNeuron takes the output from Hodgkin-Huxley simulations in NEURON and renders them in 3D. • The animations can be stopped, started and zoomed, thus letting researchers interact with the model.
  13. 13. VISUALIZATION OF RESULTS
  14. 14. GAINS • Even after the death of a man his intelligence can be used. • Decision can be made without the presence of a person. • The activity of different animals can be understood. • It would allow the deaf to hear via direct nerve stimulation. • By down loading the contents of the brain that was uploaded into the computer, the man can get rid from the madness.
  15. 15. CHALLENGES • We become dependent upon the computer systems. • Others may use technical knowledge against us. • Computer viruses will pose an increasingly critical threat. • The real threat, however, is the fear that people will have of new technologies.
  16. 16. HARDWARE USED 1) BLUE GENE/P 2) SILICON GRAPHICS 3) COMMODITY PC CLUSTERS 4) JuQUEEN
  17. 17. BLUE GENE Blue Gene/P technical specifications: • 4,096 quad-core nodes (16,384 cores in total) • Each core is a Power PC 450 , 850 MHz • Total: 56 teraflops, 16 terabytes of memory • 4 racks, one row, wired as a 16x16x16 3D torus • 1 PB of disk space, GPFS parallel file system • Operating system: Linux SuSE SLES 10 • Public front end: bluegene.epfl.ch and processing log
  18. 18. JuQUEEN • JuQUEEN is an IBM Blue Gene/Q supercomputer that was installed at the Jülich Research Center in Germany in May 2012. • It currently performs at 1.6 petaflops and was ranked the world's 8th fastest supercomputer in June 2012. • This aims to develop a three-dimensional, realistic model of the human brain.
  19. 19. MOTIVATIONS • Brain disease treatments. • Scientific curiosity about consciousness and the human mind. • Integration of all neuroscientific research results worldwide. • Progress towards building thinking machines (bottom up approach).
  20. 20. CONCLUSION • If we could clearly understand the functionalities of the brain it is easy to cure diseases of the brain. • If this technology is put in use, a person can live on the earth through his intelligence, feelings , personalities and memories.
  21. 21. CREDITS & SOURCE SOURCE: • www.artificialintelligence.com • www.google.com • www.googleimages.com • www.epfl.com
  22. 22. ANY QUERIES

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