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WEL COME
ARTIFICIAL
INTELLIGENCE
CONTENTS
 INTRODUCTION
 HISTORY OF ARTIFICIAL
INTELLIGENCE
 WHY AI
 LIMITATION OF HUMAN MIND
 APPLICATIONS
 ADVANTAGES
 DISADVANTAGE
 CONCLUSION
INTRODUCTION
ARTIFICIAL INTELLIGENCE IS A BRANCH OF SCIENCE WHICH DEALS
WITH HELPING MACHINES FINDS SOLUTIONS TO COMPLEX PROBLEMS
IN A MORE HUMAN-LIKE FASHION.
THIS GENERALLY INVOLVES BORROWING CHARACTERISTICS FROM
HUMAN INTELLIGENCE, AND APPLYING THEM AS ALGORITHMS IN A
COMPUTER FRIENDLY WAY.
BRIEF HISTORY OF AI
 1941: FIRST ELECTRONIC COMPUTER (TECHNOLOGY FINALLY
AVAILABLE)
 1956: TERM ARTIFICIAL INTELLIGENCE INTRODUCED
 1960S: CHECKERS-PLAYING PROGRAM THAT WAS ABLE TO
PLAY GAMES WITH OPPONENTS
 1980S: QUALITY CONTROL SYSTEMS
 2000: FIRST SOPHISTICATED WALKING ROBOT
WHY A I?
COMPUTERS ARE FUNDAMENTALLY WELL SUITED TO
PERFORMING MECHANICAL COMPUTATIONS, USING FIXED
PROGRAMMED RULES. THIS ALLOWS ARTIFICIAL MACHINES
TO PERFORM SIMPLE MONOTONOUS TASKS EFFICIENTLY AND
RELIABLY, WHICH HUMANS ARE ILL-SUITED TO."
LIMITATIONS OF HUMAN MIND
 OBJECT RECOGNITION. PEOPLE CANNOT PROPERLY
EXPLAIN HOW THEY RECOGNIZE OBJECTS.
 FACE RECOGNITION. CANNOT BE PASSED ON TO
ANOTHER PERSON BY EXPLANATION.
 NAMING OF COLOURS. BASED ON LEARNING, NOT
ON ABSOLUTE STANDARDS.
APPLICATIONS OF AI
 EXPERT SYSTEMS.
 NATURAL LANGUAGE PROCESSING (NLP).
 SPEECH RECOGNITION.
 COMPUTER VISION.
 ROBOTICS.
EXPERT SYSTEMS
 AN EXPERT SYSTEM IS A COMPUTER PROGRAM
DESIGNED TO ACT AS AN EXPERT IN A PARTICULAR
DOMAIN (AREA OF EXPERTISE)
PHASES IN EXPERT SYSTEM
 EXPERT SYSTEMS CURRENTLY ARE DESIGNED TO ASSIST
EXPERTS, NOT TO REPLACE THEM, THEY HAVE BEEN
USED IN MEDICAL DIAGNOSIS,CHEMICAL ANALYSIS,
GEOLOGICAL EXPLORATIONS ETC.
NATURAL LANGUAGE
PROCESSING
THE GOAL OF NLP IS TO ENABLE PEOPLE AND
COMPUTERS TO COMMUNICATE IN A NATURAL
(HUMANLY) LANGUAGE(SUCH AS, ENGLISH) RATHER
THAN IN A COMPUTER LANGUAGE.
THE FIELD OF NLP IS DIVIDED IN 2 CATEGORIES
→NATURAL LANGUAGE UNDERSTANDING.
→ NATURAL LANGUAGE GENERATION.
SPEECH RECOGNITION
 THE PRIMARY INTERACTIVE METHOD OF COMMUNICATION
USED BY HUMANS IS NOT READING AND WRITING, IT IS
SPEECH.
 THE GOAL OF SPEECH RECOGNITION RESEARCH IS TO ALLOW
COMPUTERS TO UNDERSTAND HUMAN SPEECH. SO THAT
THEY CAN HEAR OUR VOICES AND RECOGNIZE THE WORDS
WE ARE SPEAKING.
 IT SIMPLIFIES THE PROCESS OF INTERACTIVE
COMMUNICATION BETWEEN PEOPLE AND COMPUTERS, THUS
IT ADVANCES THE GOAL OF NLP.
COMPUTER VISION
 PEOPLE GENERALLY USE VISION AS THEIR PRIMARY
MEANS OF SENSING THEIR ENVIRONMENT, WE
GENERALLY SEE MORE THAN WE HEAR, FEEL OR
SMELL OR TASTE.
 THE GOAL OF COMPUTER VISION RESEARCH IS TO
GIVE COMPUTERS THIS SAME POWERFUL FACILITY
FOR UNDERSTANDING THEIR SURROUNDING. HERE
A.I HELPS COMPUTER TO UNDERSTAND WHAT THEY
SEE THROUGH ATTACHED CAMERAS.
ROBOTICS
A ROBOT IS A ELECTRO-MECHANICAL DEVICE THAT CAN BY
PROGRAMMED TO PERFORM MANUAL TASKS OR A
REPROGRAMMABLE MULTI FUNCTIONAL MANIPULATOR
DESIGNED TO MOVE MATERIALS, PARTS, TOOLS, OR
SPECIALIZED DEVICES THROUGH VARIABLE PROGRAMMED
MOTIONS FOR PERFORMANCE OF VARIETY OF TASKS.
AN 'INTELLIGENT' ROBOT INCLUDES SOME KIND OF
SENSORY APPARATUS THAT ALLOWS IT TO RESPOND TO
CHANGE IN IT'S ENVIRONMENT
ADVANTAGES
 THEY WILL PROBABLY BE INCREASINGLY USED IN THE FIELD OF
MEDICINE.
 A KNOWLEDGE BASED EXPERT SYSTEM, WHICH CAN CROSS-
REFERENCE SYMPTOMS AND DISEASES WILL GREATLY IMPROVE THE
ACCURACY OF DIAGNOSTICS.
 OBJECT RECOGNITION WILL ALSO BE A GREAT AID TO DOCTORS.
 ALONG WITH IMAGES FROM CATS CANS OR X-RAY MACHINES, THEY
WILL BE ABLE TO GET PRELIMINARY ANALYSIS OF THOSE IMAGES.
 THIS OF COURSE WILL BE POSSIBLE ONLY IF PEOPLE SOLVE LEGAL
QUESTIONS THAT ARISE BY GIVING POWER TO A MACHINE TO
CONTROL OR INFLUENCE THE HEALTH OF A HUMAN
DISADVANTAGES
 SELF-MODIFYING, WHEN COMBINED WITH SELF-
REPLICATING, CAN LEADTO DANGEROUS, UNEXPECTED
RESULTS, SUCH AS A NEW ANDFREQUENTLY MUTATING
COMPUTER VIRUS.
CONCLUSION
IN IT'S SHORT EXISTENCE, AL HAS INCREASED UNDERSTANDING
OF THE NATURE OF INTELLIGENCE AND PROVIDED AN
IMPRESSIVE ARRAY OF APPLICATION IN A WIDE RANGE OF
AREAS. IT HAS SHARPENED UNDERSTANDING OF HUMAN
REASONING, AND OF THE NATURE OF INTELLIGENCE IN
GENERAL. AT THE SAME TIME, IT HAS REVEALED THE
COMPLEXITY OF MODELING HUMAN REASONING PROVIDING
NEW AREAS AND RICH CHALLENGES FOR THE FUTURE.
Questions &
Answers
THANK YOU
Reference:
www.google.com
www.Wikipedia.com
https://www.slideshare.net/
https://aiemd.org/
https://www.iitk.ac.in/eclub/summercamp

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Artificial intelligence

  • 2. CONTENTS  INTRODUCTION  HISTORY OF ARTIFICIAL INTELLIGENCE  WHY AI  LIMITATION OF HUMAN MIND  APPLICATIONS  ADVANTAGES  DISADVANTAGE  CONCLUSION
  • 3. INTRODUCTION ARTIFICIAL INTELLIGENCE IS A BRANCH OF SCIENCE WHICH DEALS WITH HELPING MACHINES FINDS SOLUTIONS TO COMPLEX PROBLEMS IN A MORE HUMAN-LIKE FASHION. THIS GENERALLY INVOLVES BORROWING CHARACTERISTICS FROM HUMAN INTELLIGENCE, AND APPLYING THEM AS ALGORITHMS IN A COMPUTER FRIENDLY WAY.
  • 4. BRIEF HISTORY OF AI  1941: FIRST ELECTRONIC COMPUTER (TECHNOLOGY FINALLY AVAILABLE)  1956: TERM ARTIFICIAL INTELLIGENCE INTRODUCED  1960S: CHECKERS-PLAYING PROGRAM THAT WAS ABLE TO PLAY GAMES WITH OPPONENTS  1980S: QUALITY CONTROL SYSTEMS  2000: FIRST SOPHISTICATED WALKING ROBOT
  • 5. WHY A I? COMPUTERS ARE FUNDAMENTALLY WELL SUITED TO PERFORMING MECHANICAL COMPUTATIONS, USING FIXED PROGRAMMED RULES. THIS ALLOWS ARTIFICIAL MACHINES TO PERFORM SIMPLE MONOTONOUS TASKS EFFICIENTLY AND RELIABLY, WHICH HUMANS ARE ILL-SUITED TO."
  • 6. LIMITATIONS OF HUMAN MIND  OBJECT RECOGNITION. PEOPLE CANNOT PROPERLY EXPLAIN HOW THEY RECOGNIZE OBJECTS.  FACE RECOGNITION. CANNOT BE PASSED ON TO ANOTHER PERSON BY EXPLANATION.  NAMING OF COLOURS. BASED ON LEARNING, NOT ON ABSOLUTE STANDARDS.
  • 7. APPLICATIONS OF AI  EXPERT SYSTEMS.  NATURAL LANGUAGE PROCESSING (NLP).  SPEECH RECOGNITION.  COMPUTER VISION.  ROBOTICS.
  • 8. EXPERT SYSTEMS  AN EXPERT SYSTEM IS A COMPUTER PROGRAM DESIGNED TO ACT AS AN EXPERT IN A PARTICULAR DOMAIN (AREA OF EXPERTISE) PHASES IN EXPERT SYSTEM  EXPERT SYSTEMS CURRENTLY ARE DESIGNED TO ASSIST EXPERTS, NOT TO REPLACE THEM, THEY HAVE BEEN USED IN MEDICAL DIAGNOSIS,CHEMICAL ANALYSIS, GEOLOGICAL EXPLORATIONS ETC.
  • 9. NATURAL LANGUAGE PROCESSING THE GOAL OF NLP IS TO ENABLE PEOPLE AND COMPUTERS TO COMMUNICATE IN A NATURAL (HUMANLY) LANGUAGE(SUCH AS, ENGLISH) RATHER THAN IN A COMPUTER LANGUAGE. THE FIELD OF NLP IS DIVIDED IN 2 CATEGORIES →NATURAL LANGUAGE UNDERSTANDING. → NATURAL LANGUAGE GENERATION.
  • 10. SPEECH RECOGNITION  THE PRIMARY INTERACTIVE METHOD OF COMMUNICATION USED BY HUMANS IS NOT READING AND WRITING, IT IS SPEECH.  THE GOAL OF SPEECH RECOGNITION RESEARCH IS TO ALLOW COMPUTERS TO UNDERSTAND HUMAN SPEECH. SO THAT THEY CAN HEAR OUR VOICES AND RECOGNIZE THE WORDS WE ARE SPEAKING.  IT SIMPLIFIES THE PROCESS OF INTERACTIVE COMMUNICATION BETWEEN PEOPLE AND COMPUTERS, THUS IT ADVANCES THE GOAL OF NLP.
  • 11. COMPUTER VISION  PEOPLE GENERALLY USE VISION AS THEIR PRIMARY MEANS OF SENSING THEIR ENVIRONMENT, WE GENERALLY SEE MORE THAN WE HEAR, FEEL OR SMELL OR TASTE.  THE GOAL OF COMPUTER VISION RESEARCH IS TO GIVE COMPUTERS THIS SAME POWERFUL FACILITY FOR UNDERSTANDING THEIR SURROUNDING. HERE A.I HELPS COMPUTER TO UNDERSTAND WHAT THEY SEE THROUGH ATTACHED CAMERAS.
  • 12. ROBOTICS A ROBOT IS A ELECTRO-MECHANICAL DEVICE THAT CAN BY PROGRAMMED TO PERFORM MANUAL TASKS OR A REPROGRAMMABLE MULTI FUNCTIONAL MANIPULATOR DESIGNED TO MOVE MATERIALS, PARTS, TOOLS, OR SPECIALIZED DEVICES THROUGH VARIABLE PROGRAMMED MOTIONS FOR PERFORMANCE OF VARIETY OF TASKS. AN 'INTELLIGENT' ROBOT INCLUDES SOME KIND OF SENSORY APPARATUS THAT ALLOWS IT TO RESPOND TO CHANGE IN IT'S ENVIRONMENT
  • 13. ADVANTAGES  THEY WILL PROBABLY BE INCREASINGLY USED IN THE FIELD OF MEDICINE.  A KNOWLEDGE BASED EXPERT SYSTEM, WHICH CAN CROSS- REFERENCE SYMPTOMS AND DISEASES WILL GREATLY IMPROVE THE ACCURACY OF DIAGNOSTICS.  OBJECT RECOGNITION WILL ALSO BE A GREAT AID TO DOCTORS.  ALONG WITH IMAGES FROM CATS CANS OR X-RAY MACHINES, THEY WILL BE ABLE TO GET PRELIMINARY ANALYSIS OF THOSE IMAGES.  THIS OF COURSE WILL BE POSSIBLE ONLY IF PEOPLE SOLVE LEGAL QUESTIONS THAT ARISE BY GIVING POWER TO A MACHINE TO CONTROL OR INFLUENCE THE HEALTH OF A HUMAN
  • 14. DISADVANTAGES  SELF-MODIFYING, WHEN COMBINED WITH SELF- REPLICATING, CAN LEADTO DANGEROUS, UNEXPECTED RESULTS, SUCH AS A NEW ANDFREQUENTLY MUTATING COMPUTER VIRUS.
  • 15. CONCLUSION IN IT'S SHORT EXISTENCE, AL HAS INCREASED UNDERSTANDING OF THE NATURE OF INTELLIGENCE AND PROVIDED AN IMPRESSIVE ARRAY OF APPLICATION IN A WIDE RANGE OF AREAS. IT HAS SHARPENED UNDERSTANDING OF HUMAN REASONING, AND OF THE NATURE OF INTELLIGENCE IN GENERAL. AT THE SAME TIME, IT HAS REVEALED THE COMPLEXITY OF MODELING HUMAN REASONING PROVIDING NEW AREAS AND RICH CHALLENGES FOR THE FUTURE.