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A SEMINAR REPORT ON
ARTIFICIAL
INTELLIGENCE
Submitted By:
Eng Ranjan Kumar Nayak(MCA)
WELCOME TO
ARTIFICIAL
INTELLIGENCE
CONTENTS
Introduction
Problems deducted through A.I
Approaches
Tools
Early History
Current Status of A.I.
Future of A.I
Challenges
Advantages
Disadvantages
Application
Conclusion
WHAT IS ARTIFICIAL
INTELLIGENCE
 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
INTRODUCTION
EXAMPLE OF AI:-
YOUTUBE SEARCH
GOOGLE MAPING
AMAZON ALEXA
PROBLEM DEDUCTED THROUGH A.I.
•Deduction, reasoning, problem
solving.
•Motion and manipulation
•Natural language processing
•Social intelligence
APPROACHES
•CYBERNETICS AND BRAIN SIMULATION
•SYMBOLIC
When access to digital computers became
possible in the middle 1950s, AI research
began to explore the possibility that
human intelligence could be reduced to
symbol manipulation.
•SEARCH AND OPTIMIZATION
Many problems in AI can be solved in
theory by intelligently searching
through many possible solutions.
Planning algorithms search through
trees of goals and subgoals,
attempting to find a path to a target
goal, a process called means-ends
analysis.
TOOLS
EARLY HISTORY
In 1950 English mathematician
Alan Turing wrote a landmark paper
titled “computing machine and
intelligence” that asked the question
:
“CAN MACHINES THINK ?”
Further work came out of a 1956
workshop at Dartmouth sponsored by
john McCarthy. In the proposal for that
workshop , he coined the Phrase “Study
of artificial intelligence”.
CURRENT STATUS OF A.I.
Al have taken many shapes
and forms over recent year.
Mobile phones (siri)
Video game characters
Gps/voice recognition
Robotics
Google has been a major play on
all transcendence and deep
learning.
Deep learning is a machine
learning based on algorithms.
FUTURE OF A.I
Beyond negotiation, moore says
CMU is betting several other AI
areas are going to be hugely
important in the near future.
Self driving cars’
Improved medical care and
treatment.
Open up doors to future
explorations.
Etc…..
CHALLENGES
Computing power
Tolerance power
Judging power
ADVANTAGES
• Artificial intelligence would
not need any sleep.
• Unemotional consideration
of problems.
• Easier copying.
DISADVANTAGE
• Limited Sensory input.
• An artificial mind is limited capable to
talk.
APPLICATIONS
• Gesture recognition
• Individual voice recognition
• Global voice recognition
• Robot navigation.
Conclusion
Artificial intelligence
and machine learning
are products of both
science and myth. The
idea that machines
could think and
perform tasks just as
humans do is thousands
of years old.
Any question ? ? ?.......

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A----I.pptx

  • 1. A SEMINAR REPORT ON ARTIFICIAL INTELLIGENCE Submitted By: Eng Ranjan Kumar Nayak(MCA)
  • 3. CONTENTS Introduction Problems deducted through A.I Approaches Tools Early History Current Status of A.I. Future of A.I Challenges Advantages Disadvantages Application Conclusion
  • 4. WHAT IS ARTIFICIAL INTELLIGENCE  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 INTRODUCTION
  • 5. EXAMPLE OF AI:- YOUTUBE SEARCH GOOGLE MAPING AMAZON ALEXA
  • 6. PROBLEM DEDUCTED THROUGH A.I. •Deduction, reasoning, problem solving. •Motion and manipulation •Natural language processing •Social intelligence
  • 7. APPROACHES •CYBERNETICS AND BRAIN SIMULATION •SYMBOLIC When access to digital computers became possible in the middle 1950s, AI research began to explore the possibility that human intelligence could be reduced to symbol manipulation.
  • 8. •SEARCH AND OPTIMIZATION Many problems in AI can be solved in theory by intelligently searching through many possible solutions. Planning algorithms search through trees of goals and subgoals, attempting to find a path to a target goal, a process called means-ends analysis. TOOLS
  • 9. EARLY HISTORY In 1950 English mathematician Alan Turing wrote a landmark paper titled “computing machine and intelligence” that asked the question : “CAN MACHINES THINK ?” Further work came out of a 1956 workshop at Dartmouth sponsored by john McCarthy. In the proposal for that workshop , he coined the Phrase “Study of artificial intelligence”.
  • 10. CURRENT STATUS OF A.I. Al have taken many shapes and forms over recent year. Mobile phones (siri) Video game characters Gps/voice recognition Robotics Google has been a major play on all transcendence and deep learning. Deep learning is a machine learning based on algorithms.
  • 11. FUTURE OF A.I Beyond negotiation, moore says CMU is betting several other AI areas are going to be hugely important in the near future. Self driving cars’ Improved medical care and treatment. Open up doors to future explorations. Etc…..
  • 13. ADVANTAGES • Artificial intelligence would not need any sleep. • Unemotional consideration of problems. • Easier copying.
  • 14. DISADVANTAGE • Limited Sensory input. • An artificial mind is limited capable to talk.
  • 15. APPLICATIONS • Gesture recognition • Individual voice recognition • Global voice recognition • Robot navigation.
  • 16. Conclusion Artificial intelligence and machine learning are products of both science and myth. The idea that machines could think and perform tasks just as humans do is thousands of years old.
  • 17. Any question ? ? ?.......