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Introduction

Introduction. Natural intelligence. Artificial intelligence (AI). History of AI . Characteristics of AI system. AI tasks. AI roots and applications. WHAT A BRAIN CAN DO?. Solve maths problem. Recognize a ball. Predict weather. Search solution. Diagnose disease. Plan.

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Introduction

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Presentation Transcript

  1. Introduction Natural intelligence Artificial intelligence (AI) History of AI Characteristics of AI system AI tasks AI roots and applications

  2. WHAT A BRAIN CAN DO? Solve maths problem Recognize a ball Predict weather Search solution Diagnose disease Plan Understand speech /language Learn natural Make decision …………………………… Commonsense reasoning

  3. natural

  4. natural artificial AIis …. an ‘imitation’ of human intelligence into a machine

  5. Not consistent Cannot be copied or transferred High cost Difficult to be documented natural Creative Wider focus

  6. Consistent Can be copied or transferred Low cost Can be documented Limited focus artificial

  7. DEFINITION John McCarthy “science and engineering of making intelligent machines” Marvin Minsky “science of making computers DOthings that require intelligence if they are done by humans” Durkin Jackson “science of making a computer REASON in a manner similar to humans”

  8. DIMENSION System thinks like human System thinksrationally System acts like human System acts rationally

  9. DIMENSION Cognitive Science perspective (thinking process) Engineering perspective (behavior)

  10. DIMENSION System thinks like human System thinksrationally System acts rationally System acts like human

  11. DIMENSION Compare system against human Compare system against real concept of intelligence

  12. HISTORY Re-emergence 2000s 2nd AI winter 1988 1st commercialization 1980 Rebirth 1969-1979 1st AI winter 1966-1973 LISP 1958 Dartmouth workshop 1956 1952-1962 Period of enthusiasm 1950 Turing test 1950 1st NN computer built

  13. AI EVOLUTION 2000 onwards Embedded application Multiple integration 1990s Domain knowledge 1980s General method 1970s Naïve solution 1960s

  14. TURING TEST TURING MACHINE This game ends when the interrogator made his guess Turing machine pass the test if the interrogator fails to recognize with whom (or with what) he is communicating.

  15. CHARACTERISTIC S NP VP A D V N B C the birds fly 1 - Knowledge processing The birds fly on(a,b) on(b,c) on(c,table) clear(a) s(np(det(the),noun(birds)),vp(v(fly)))

  16. CHARACTERISTIC 2 - Focus on heuristic 3 - Symbolic processing 4 - Possess inference ability 5 - Learns

  17. AI TASKS Mundane Formal Expert

  18. APPLICATION

  19. APPLICATION

  20. APPLICATION Household gadgets • washing machine • rice cooker • microwave • vacuum cleaner

  21. APPLICATION Hi, my name is Stanley Autonomous vehicle

  22. APPLICATION Search engine crawlers FlipDog NetFlix News Finder (natural language processing technology)

  23. APPLICATION Automobile safety system self-parking lane departure warning intelligent cruise control

  24. APPLICATION Voice response system (IVR) Speech recognition Natural language understanding

  25. APPLICATION Chatter bot Jenn Alice Captain Kirk Alex George Eva (natural language processing technology)

  26. APPLICATION Resource allocation problem Optimizing airport schedule (genetic algorithm technology)

  27. APPLICATION Credit card fraud detection Falcon (neural network technology) Pap smear screening FocalPoint (expert system technology)

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