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ARTIFICIAL INTELLIGENCE
Presented By:
Aakash Kumar Paswan
1501215024
Computer Science & Engineering
CONTENT:
 Introduction
 History
 Applications
 A.I In Daily Life
 Fields Of AI
 Advantages & Disadvantages
 Conclusion
INTRODUCTION:
Artificial intelligence (AI) is the intelligence of machines
and the branch of computer science that aims to create
it. AI textbooks define the field as "the study and design
of intelligent agents" where an intelligent agent is a
system that perceives its environment and takes actions
that maximize its chances of success.
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 system took place.
1980-88: Expert system industry booms.
APPLICATIONS:
 Natural Language Processing
 Expert Systems
 AI In Robots
 Speech Recognition
 Computer Vision
Natural Language Processing
To design and build software that will analyse understand and generate
languages that human use naturally.
 an expert system is a computer
system that emulates the decision-
making ability of a human expert.
Expert systems are designed to
solve complex problems
by reasoning through bodies of
knowledge, represented mainly as if–
then rules rather than through
conventional procedural code.
Expert Systems:
AI IN
ROBOTS:
Tend to mimic
human sensing
and decision
making abilities
so that they can
adopt
themselves to
certain
conditions and
modify their
actions.
Speech Recognition:
Speech recognition is technology that can recognize spoken words, which can then be
converted to text. A subset of speech recognition is voice recognition, which is the
technology for identifying a person based on their voice.
Facebook, Amazon, Microsoft, Google and Apple — five of the world’s top tech
companies — are already offering this feature on various devices through services like
Google Assistant, Amazon Echo and Siri.
COMPUTER
VISION:
 Ability of a machine to
extract information from
an image that is
necessary to solve a
task.
 Face Recognition.
 Image Processing.
 ImageAnalysis.
 Image Understanding.
AI IN DAILY LIFE:
 Home Security
 Virtual Personal Assistant
 Bank
 Post office
 Websites
 Digital cameras
 News and publishing
 Financial trades
 Health and medicine
 Games and toys
FIELDS OF AI:
Graphical User Interface
Automatic Storage
management
Object Oriented Programming
computer gaming
Assembling Robots
Welding Robots
Behaviour based
robotics
Dancing Robots
Robot navigation
Automated Online
Assistants
Voice dialling
Speech Recognition
ADVANTAGES & DISADVANTAGES:
ADVANTAGES:
 Artificial intelligence would not
need any sleep.
 Unemotional consideration of
problems.
 Easier copying.
DISADVANTEGES:
 Limited Sensory input.
 An artificial mind is limited capable
to talk.
CONCLUSION:
In it’s short existence, AI 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
modelling human reasoning providing
new areas and rich challenges for the
future.
Artificial intelligence

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Artificial intelligence

  • 1. ARTIFICIAL INTELLIGENCE Presented By: Aakash Kumar Paswan 1501215024 Computer Science & Engineering
  • 2. CONTENT:  Introduction  History  Applications  A.I In Daily Life  Fields Of AI  Advantages & Disadvantages  Conclusion
  • 3. INTRODUCTION: Artificial intelligence (AI) is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.
  • 4. 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 system took place. 1980-88: Expert system industry booms.
  • 5. APPLICATIONS:  Natural Language Processing  Expert Systems  AI In Robots  Speech Recognition  Computer Vision
  • 6. Natural Language Processing To design and build software that will analyse understand and generate languages that human use naturally.
  • 7.  an expert system is a computer system that emulates the decision- making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if– then rules rather than through conventional procedural code. Expert Systems:
  • 8. AI IN ROBOTS: Tend to mimic human sensing and decision making abilities so that they can adopt themselves to certain conditions and modify their actions.
  • 9. Speech Recognition: Speech recognition is technology that can recognize spoken words, which can then be converted to text. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice. Facebook, Amazon, Microsoft, Google and Apple — five of the world’s top tech companies — are already offering this feature on various devices through services like Google Assistant, Amazon Echo and Siri.
  • 10. COMPUTER VISION:  Ability of a machine to extract information from an image that is necessary to solve a task.  Face Recognition.  Image Processing.  ImageAnalysis.  Image Understanding.
  • 11.
  • 12. AI IN DAILY LIFE:  Home Security  Virtual Personal Assistant  Bank  Post office  Websites  Digital cameras  News and publishing  Financial trades  Health and medicine  Games and toys
  • 13. FIELDS OF AI: Graphical User Interface Automatic Storage management Object Oriented Programming computer gaming Assembling Robots Welding Robots Behaviour based robotics Dancing Robots Robot navigation Automated Online Assistants Voice dialling Speech Recognition
  • 14. ADVANTAGES & DISADVANTAGES: ADVANTAGES:  Artificial intelligence would not need any sleep.  Unemotional consideration of problems.  Easier copying. DISADVANTEGES:  Limited Sensory input.  An artificial mind is limited capable to talk.
  • 15. CONCLUSION: In it’s short existence, AI 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 modelling human reasoning providing new areas and rich challenges for the future.