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ARTIFICIAL
INTELLIGENCE
By Anmol Jha
Define Artificial Intelligence….????
 Artificial intelligence (AI) is the ability of
a computer program or a machine to
think and learn.
 It is also a field of study which tries to
make computers "smart"....
More about Artificial Intelligence(AI)
 Strong AI
A machine with strong AI is able to think and act just like a human. It is able to
learn from human experiences.
Since there are no real life examples of strong AI yet the best representation
would be how Hollywood portrays robots.
 Weak AI
Machines with weak AI are made to respond to specific situations but can not
think for themselves.
Machine Learning
An application of AI that gives machines the ability to learn and improve without
the help of humans or new programming.
History Of Artificial Intelligence(AI)
 In 1950, English mathematician AlanTuring published a landmark
paper titled : “Computing Machinery And Intelligence”, that asked
the question “Can machine think?”. It was the first serious
proposal in the philosophy of AI.
 Further work came out of a 1956 workshop at Dartmouth
Conference sponsored by John McCarthy.
 In the proposal for that workshop he coined the phrase “Study of
AI”.
Currently AI
■ AI has taken many shapes an forms over recent years
 Mobile Phones
 Video games
 GPS
 Voice Navigation
 PersonalAssistant
 Robotics………………………and so on…………………………..
GRAPH Of Human vs AI performance
with Time
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2010 2012 2014 2016
Human Performance AI Performance
Future Of Artificial Intelligence
 Military Bots
 Self Driving cars
 Improved medicinal care and treatment
 Smart home by mobile appliances and voice
recognition
PROS and CONS
■ Pros
 Precision and Accuracy
 Space exploration
 Used for mining process
 Fraud detection
 Robotic pet and robotic radio surgery
 Diagnosis and treatment
PROS and CONS
■ Cons
 Cost incurred in the maintenance and repair
 Lack of human touch
 Lack of creative mind
 Lack of common sense
 Over dependency of humans on machines
 Abilities of humans may diminish
 Unemployment
Prerequisite for Artificial Intelligence
 Good foundation in Maths
 Calculus
 linear algebra
 statistics
 Algorithms
 Good Programming knowledge
 Python & R
 C & C++
 JAVA
 and other languages used in Machine Learning
Artificial Intelligence presentation

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Artificial Intelligence presentation

  • 2. Define Artificial Intelligence….????  Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn.  It is also a field of study which tries to make computers "smart"....
  • 3. More about Artificial Intelligence(AI)  Strong AI A machine with strong AI is able to think and act just like a human. It is able to learn from human experiences. Since there are no real life examples of strong AI yet the best representation would be how Hollywood portrays robots.  Weak AI Machines with weak AI are made to respond to specific situations but can not think for themselves. Machine Learning An application of AI that gives machines the ability to learn and improve without the help of humans or new programming.
  • 4. History Of Artificial Intelligence(AI)  In 1950, English mathematician AlanTuring published a landmark paper titled : “Computing Machinery And Intelligence”, that asked the question “Can machine think?”. It was the first serious proposal in the philosophy of AI.  Further work came out of a 1956 workshop at Dartmouth Conference sponsored by John McCarthy.  In the proposal for that workshop he coined the phrase “Study of AI”.
  • 5. Currently AI ■ AI has taken many shapes an forms over recent years  Mobile Phones  Video games  GPS  Voice Navigation  PersonalAssistant  Robotics………………………and so on…………………………..
  • 6.
  • 7. GRAPH Of Human vs AI performance with Time 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 2010 2012 2014 2016 Human Performance AI Performance
  • 8. Future Of Artificial Intelligence  Military Bots  Self Driving cars  Improved medicinal care and treatment  Smart home by mobile appliances and voice recognition
  • 9. PROS and CONS ■ Pros  Precision and Accuracy  Space exploration  Used for mining process  Fraud detection  Robotic pet and robotic radio surgery  Diagnosis and treatment
  • 10. PROS and CONS ■ Cons  Cost incurred in the maintenance and repair  Lack of human touch  Lack of creative mind  Lack of common sense  Over dependency of humans on machines  Abilities of humans may diminish  Unemployment
  • 11. Prerequisite for Artificial Intelligence  Good foundation in Maths  Calculus  linear algebra  statistics  Algorithms  Good Programming knowledge  Python & R  C & C++  JAVA  and other languages used in Machine Learning