Artificialintelligencepresentation 110925152214-phpapp01

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Artificialintelligencepresentation 110925152214-phpapp01

  1. 1. ARTIFICIAL INTELLIGENCE
  2. 2. What is Artificial Intelligence?
  3. 3. What is AI? How does th e h u m a n b ra in w o rk ? W h a t is in te llig e n c e ? How do we e m u la te th e h u m a n b ra in ? How do we c re a te in te llig e n c e ? W h o c a re s ? L e t’s do som e cool and u s e fu l s tu ff!
  4. 4. Count…...  The branch of computer science concerned with making computers behave like humans  OR  The ability of a computer or other machine to perform those activities that are normally thought to require intelligence.
  5. 5. Count…...  There are two situation or implementation of human quality .  Soft quality  Physical quality
  6. 6. Soft quality  We can make software for this .
  7. 7. Physical quality  Robotics
  8. 8. count…...  Humanoid robots
  9. 9. Researcher A.I Strong A.I. Weak A.I.
  10. 10. Strong A.I.  “Strong” AI claims that a digital computer can in principle be  programmed to actually be a mind, to be intelligent, to  understand, perceive, have beliefs, and exhibit other  cognitive states normally ascribed to human beings.
  11. 11. Weak A.I.  “Weak” AI just claims the digital computer is a useful tool for  studying intelligence and developing useful technology.  A running AI program is at most a simulation of a cognitive  process but is not itself a cognitive process.
  12. 12. What is external input?
  13. 13. External Input
  14. 14. Branches of A.I  There are six branches of A.I on which we focus greatly 1. Natural language processing 2. computer system 3. Learning system 4. Robotics 5. Knowledge Engineering 6. Expert System
  15. 15. Natural language processing  The goal of NLP is to enable people and computers to communicate in a natural (humanly) language rather than in a computer language.
  16. 16. Computer vision  The goal of computer vision research is to give computers this same powerful facility for understanding their surrounding.
  17. 17. Machine learning  Computer changes how it functions or reacts to situations based on feedback
  18. 18. Robotics  Mechanical and computer devices that perform tedious tasks with high precision
  19. 19. Knowledge engineering  KE is an engineering discipline that involves integrating knowledge into computer systems in order to solve complex problems normally requiring a high level of human expertise
  20. 20. Expert System  An Expert System is a computer program designed to act as an expert in a particular domain (area of expertise).
  21. 21. Expert system Knowledge engineer Knowledge user
  22. 22. NLP CV ML KE ES R 60% software 50% software 62% software 59% software 45% software 53% physical
  23. 23. Turing Test  Proposed by Alan Turing(1950), a British Computer scientist.  The test was devised in response to the question,” Can a computer think ?”.  Result was +ve if interrogator can not tell if responses are coming from the M/C or Human.
  24. 24. Applications of AI  Military  “Smart bombs”  Guided by remote control camera systems directed to the intended target  Unmanned drone aircraft  Missiles fly military missions and launch weapons from a distance  Decoding of enemy secret codes  Rapid translation of foreign language
  25. 25. Applications of AI  Science  Development of new drugs  Model clinical studies in animals and humans  Remote controlled surgical procedures  Uses robotics and computer-based optical systems  Can be performed half-way around the world  Advanced weather modeling  Doppler Radar  Looks at trends and past models to predict weather patterns
  26. 26. Applications of AI  Industrial  Machine vision inspection systems  Cameras and computers are placed on assembly lines to find defects  Robotic systems  Use computer automation and mechanical equipment  Take place of humans in manufacturing of cars
  27. 27. Future of AI  The future is really unknown  Researchers seem to disagree on a lot of the same issues  With the rate at which technology is improving it is logical to believe AI will continue to get more and more high degree complex machine

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