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ARTIFICIAL INTELLIGENCE
BY- Aakanksh Nath
Department of Electronics and Communication Engineering
School of Engineering and Technology
H.N.B.Garhwal Central University ,Srinagar Garhwal
2018-19
CONTENTS
• INTRODUCTION TO AI
• MACHINE
LEARNING
• HISTORY
• MAJOR BRANCHES OF AI
• USES OF AI
• ADVANTAGES &
DISADVANTAGES
• FUTURE SCOPES
• OBJECTIVES
• CONCLUSION
• REFERENCES
INTRODUCTION
Artificial Intelligence Artificial
Intelligence
Intelligence: “The capacity to learn and solve problems”
 Artificial Intelligence: Artificial intelligence (AI) is the simulation
of human intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
What is
Machine
Learning?
Machine Learning(M.L.)
• Machine Learning is the field of study
that gives computers the capability to
learn without being explicitly
programmed. ML is one of the most
exciting technologies that one would
have ever come across. As it is evident
from the name, it gives the computer
that which makes it more similar to
humans: The ability to learn.
Difference between AI and
ML-
Artificial Intelligence Machine Learning
The aim is to increase chance of success
and not accuracy.
The aim is to increase accuracy, but it does
not care about success
It work as a computer program that does
smart work
It is a simple concept machine takes data
and learn from data.
AI is decision making ML allows system to learn new things
from data.
AI leads to intelligence or wisdom. ML leads to knowledge.
The goal is to simulate natural intelligence
to solve complex problem
The goal is to learn from data on certain
task to maximize the performance of
machine on this task.
EARLYHISTORY OF A.I.
1950: “CANMACHINES
THINK???”
1956: THE TERM
“ARTIFICIAL
INTELLIGENCE” WAS
FIRST INTRODUCED.
A Brief History of AI
• 1943: McCulloch and Pitts propose a
model of artificial neurons
• 1956 Minsky and Edmonds build first
neural network computer, the SNARC
Artificial IntelligenceMajor Branches Of AI
Uses of Artificial Intelligence
• Robotics
Data Mining
– A application that allows to the computer to learn
from its environment
– Eg. Smart Cars, self-parking cars can parallel park
themselves without hitting
any other objects around it.
• Medical Diagnostic programs
– Doctors input the
symptoms of the patience
and the AI helps decide
what medications are best.
• Disease symptoms
• Medical history
• Test results of a patient
• Video Games AI
– What you do in the game will determine how the
computer reacts
– Ex. An enemy see’s your character, the computer’s
reaction is to attack your character.
PPT on Artificial Intelligence(A.I.)
PPT on Artificial Intelligence(A.I.)
Advantages Of AI
 The chances of error are almost nil
 It can be used to explore space,
depths of ocean
 Smart phones are greatest example of
A.I.
 It can be used in time consuming tasks efficiently
 Algorithms can help the doctors asses patients
and their health risks
 Machines do not require sleep or break and are
able to function without stopping
Disadvantages of AI
 High cost
 Decrease in demand for human
labour
 AI may be programmed to do
somethingdevastating
 Thestorage and access are not as effective as human brains
 No improvement with experience
Personal assistants will become more personal
and context aware
More and more systems will run autonomously to
a point
The positive impact AI research can have on
humanity will start to be across many walks
of life - much of it behind the scenes
Improved speech, voice, image ,video recognition
will change the way interact with our devices
• AI is like two edged sword, At one end they can
solve problems intelligently, At another end they
pose a problem…….so we have to handle it
properly.
Am I
good or
bad? It
depends
on who
created
me…..
Conclusion
• AI is at the centre of a new enterprise to build
computational models of intelligence.
• Now the great challenge of AI is to find ways of
representing the commonsense knowledge and
experience that enable people to carry out everyday
activities.
• The future of Technology & society.
• Rivals Human Intelligence.
• Raises difficult Ethical Issues.
Reference
• https://www.google.com/webhp?source=search_app
• https://en.wikipedia.org/wiki/Artificial intelligence
• https://engineershub.co/
• https://office.live.com/start/PowerPoint.aspx
• https://www.google.com/imghp?hl=en
THANK YOU
PPT on Artificial Intelligence(A.I.)

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PPT on Artificial Intelligence(A.I.)

  • 1. ARTIFICIAL INTELLIGENCE BY- Aakanksh Nath Department of Electronics and Communication Engineering School of Engineering and Technology H.N.B.Garhwal Central University ,Srinagar Garhwal 2018-19
  • 2. CONTENTS • INTRODUCTION TO AI • MACHINE LEARNING • HISTORY • MAJOR BRANCHES OF AI • USES OF AI • ADVANTAGES & DISADVANTAGES • FUTURE SCOPES • OBJECTIVES • CONCLUSION • REFERENCES
  • 4. Artificial Intelligence Artificial Intelligence Intelligence: “The capacity to learn and solve problems”  Artificial Intelligence: Artificial intelligence (AI) is the simulation of human intelligence by machines. • The ability to solve problems • The ability to act rationally • The ability to act like humans
  • 6. Machine Learning(M.L.) • Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that which makes it more similar to humans: The ability to learn.
  • 7. Difference between AI and ML- Artificial Intelligence Machine Learning The aim is to increase chance of success and not accuracy. The aim is to increase accuracy, but it does not care about success It work as a computer program that does smart work It is a simple concept machine takes data and learn from data. AI is decision making ML allows system to learn new things from data. AI leads to intelligence or wisdom. ML leads to knowledge. The goal is to simulate natural intelligence to solve complex problem The goal is to learn from data on certain task to maximize the performance of machine on this task.
  • 8. EARLYHISTORY OF A.I. 1950: “CANMACHINES THINK???” 1956: THE TERM “ARTIFICIAL INTELLIGENCE” WAS FIRST INTRODUCED.
  • 9. A Brief History of AI • 1943: McCulloch and Pitts propose a model of artificial neurons • 1956 Minsky and Edmonds build first neural network computer, the SNARC
  • 11. Uses of Artificial Intelligence
  • 12. • Robotics Data Mining – A application that allows to the computer to learn from its environment – Eg. Smart Cars, self-parking cars can parallel park themselves without hitting any other objects around it.
  • 13. • Medical Diagnostic programs – Doctors input the symptoms of the patience and the AI helps decide what medications are best. • Disease symptoms • Medical history • Test results of a patient
  • 14. • Video Games AI – What you do in the game will determine how the computer reacts – Ex. An enemy see’s your character, the computer’s reaction is to attack your character.
  • 17. Advantages Of AI  The chances of error are almost nil  It can be used to explore space, depths of ocean  Smart phones are greatest example of A.I.  It can be used in time consuming tasks efficiently  Algorithms can help the doctors asses patients and their health risks  Machines do not require sleep or break and are able to function without stopping
  • 18. Disadvantages of AI  High cost  Decrease in demand for human labour  AI may be programmed to do somethingdevastating  Thestorage and access are not as effective as human brains  No improvement with experience
  • 19. Personal assistants will become more personal and context aware More and more systems will run autonomously to a point The positive impact AI research can have on humanity will start to be across many walks of life - much of it behind the scenes Improved speech, voice, image ,video recognition will change the way interact with our devices
  • 20. • AI is like two edged sword, At one end they can solve problems intelligently, At another end they pose a problem…….so we have to handle it properly. Am I good or bad? It depends on who created me…..
  • 21. Conclusion • AI is at the centre of a new enterprise to build computational models of intelligence. • Now the great challenge of AI is to find ways of representing the commonsense knowledge and experience that enable people to carry out everyday activities. • The future of Technology & society. • Rivals Human Intelligence. • Raises difficult Ethical Issues.
  • 22. Reference • https://www.google.com/webhp?source=search_app • https://en.wikipedia.org/wiki/Artificial intelligence • https://engineershub.co/ • https://office.live.com/start/PowerPoint.aspx • https://www.google.com/imghp?hl=en