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ARTIFICIAL INTELLIGENCE (AI)
CONTENTS
 INTRODUCTION
 HISTORY
 APPLICATIONS
 FUTURE OF A.I
 A.I IN DAILY LIFE
INTRODUCTION
 WHAT’S ARTIFICIAL INTELLIGENCE OR A.I?
Artificial intelligence (AI) is intelligence
exhibited by machines. In computer
science, an ideal "intelligent" machine is
a flexible rational agent that perceives its
environment and takes actions that
maximize its chance of success at SOME
GOAL.
HISTORY
1943 : McCullough and Pitts’ invented “artificial neurons”.
1950 : Inventions of Alan Turing’s “Computing machinery and Intelligence”.
1951 : AI was using in Games.
1956 : Dartmouth conference; And the birth of AI. 1965 : Robinson’s complete
algorithm for logical reasoning.
1969 - 79 : Early development of knowledge based systems took place.
1980 – 88 : Expert system industry booms.
APPLICATIONS
• Expert systems.
• Natural Language Processing (NLP).
• Speech recognition.
• Computer vision.
• Robotics.
• Automatic Programming.
 EXPERTS SYSTEM
An Expert System is a computer program
designed to act as an expert in a particular
domain (area of expertise). Domain of E.S.
Knowledge base Facts Heuristics 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
LP communicate in a natural (humanly)language(such
as, English) rather than in a computer language.
 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 VISON
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 Face recognition
process using AI.
 AUTOMATIC PROGRAMMING
Automatic programming is the
generation of programs by computer,
usually based on specifications that
are higher-level and easier for
humans to specify than ordinary
programming languages. It’s one of
the most important part of A.I.
Automatic programming process.
 FUTURE OF A.I
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
sophisticated. A robot helping a
disable person.

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ARRTIFICIAL INTELLIGENCE [Autosaved].pptx

  • 2. CONTENTS  INTRODUCTION  HISTORY  APPLICATIONS  FUTURE OF A.I  A.I IN DAILY LIFE
  • 3. INTRODUCTION  WHAT’S ARTIFICIAL INTELLIGENCE OR A.I? Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at SOME GOAL.
  • 4. HISTORY 1943 : McCullough and Pitts’ invented “artificial neurons”. 1950 : Inventions of Alan Turing’s “Computing machinery and Intelligence”. 1951 : AI was using in Games. 1956 : Dartmouth conference; And the birth of AI. 1965 : Robinson’s complete algorithm for logical reasoning. 1969 - 79 : Early development of knowledge based systems took place. 1980 – 88 : Expert system industry booms.
  • 5. APPLICATIONS • Expert systems. • Natural Language Processing (NLP). • Speech recognition. • Computer vision. • Robotics. • Automatic Programming.
  • 6.  EXPERTS SYSTEM An Expert System is a computer program designed to act as an expert in a particular domain (area of expertise). Domain of E.S. Knowledge base Facts Heuristics 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.
  • 7.  NATURAL LANGUAGE PROCESSING The goal of NLP is to enable people and computers to LP communicate in a natural (humanly)language(such as, English) rather than in a computer language.
  • 8.  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.
  • 9.  COMPUTER VISON 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 Face recognition process using AI.
  • 10.  AUTOMATIC PROGRAMMING Automatic programming is the generation of programs by computer, usually based on specifications that are higher-level and easier for humans to specify than ordinary programming languages. It’s one of the most important part of A.I. Automatic programming process.
  • 11.  FUTURE OF A.I 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 sophisticated. A robot helping a disable person.