Artificial intelligence
Introduction
History of Artificial Intelligence
Why AI
Limitation of Human Mind
Applications
Advantages
Disadvantage
Conclusion
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.