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Today we’ll discuss:-
1.Intelligence
2.Artificial Intelligence
3. A brief history of AI
4.Cool current projects in AI.
What ‘s involved in
Intelligence ?
1. Ability to interact with world (Speech ,
Vision, Mission, Manipulation)
2. Ability to model the and to reason about
it.
3. Ability to learn and to adapt.
Definition Of AI
Artificial Intelligence is a area of computer
science focusing on creating machines that
contains human behaviors.
Like:- learning , reasoning , etc.
Goals In AI
1.To build the system that exhibit
intelligent behavior.
2. To understand intelligence in order to
model it.
A Brief History of AI
a. 1943: Mc Culloch and pitts propose a model
of artificial intelligence.
b. 1956 Minsky and Edmonds build first
neutral network computer , SNARC
The Dartmouth Conference
(1956)
a. John Mc Carthy organizes a two month
workshop for researchers interested in neural
networks and the study of intelligence.
b. Agreement to adapt a new name for this
field of study: Artificial Intelligence
1952-1969 Enthusiasm
i. Arthur samuel’s checkers player.
ii. Shakey the robot.
iii. Lots of work on neural networks.
1966-1974 Reality:-
i. AI problems appear to big and complex.
ii. Computers are very slow, very expensive
and have very little memory ( compared to
today)
1969-1979 Knowledge - Based
System :
i. Birth of expert systems.
ii. Idea is to give AI systems lots of
information to start with.
1980 – 1988 AI in Industry:
i. R1 becomes first successful commercial
expert system.
ii. Some interesting phone company systems
for diagnosing failures of telephone service.
1990s to present :-
i. Increases in computational powers
(Computers are cheaper , faster , and have
tons more memory then they used to)
ii. An example of the coolness of speed:
computer chess
Cool things AI is doing now:-
a. Robotics:-
b. Machine learning:-
c. Language system:-
d. Speech systems:-
e. Vision systems:-
Robotics
Robots are the artificial agents acting in real
world environment.
Robotics is a branch of AI, which is composed
of Electrical Engineering, Mechanical
Engineering, and Computer Science for
designing, construction, and application of
robots.
Machine Learning:-
Machine learning is a type of artificial
intelligence that provides computers with
the ability to learn without being
explicitly programmed.
Language System:-
Natural language processing (NLP)is a field of
computer science, artificial intelligence
concerned with the interactions between
computers and human (natural)languages.
Speech Recognition:-
Speech recognition is the process of
extracting text transcriptions or some
from of meaning of speech input.
Vision Systems:-
Artificial intelligence and computer vision
share other topics such as pattern recognition
and learning techniques. Consequently ,
computer vision is sometimes seen as a part of
the artificial intelligence field or computer
science as general.
!!! Thank You !!!

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Cool current projects in AI

  • 1. Today we’ll discuss:- 1.Intelligence 2.Artificial Intelligence 3. A brief history of AI 4.Cool current projects in AI.
  • 2. What ‘s involved in Intelligence ? 1. Ability to interact with world (Speech , Vision, Mission, Manipulation) 2. Ability to model the and to reason about it. 3. Ability to learn and to adapt.
  • 3. Definition Of AI Artificial Intelligence is a area of computer science focusing on creating machines that contains human behaviors. Like:- learning , reasoning , etc.
  • 4. Goals In AI 1.To build the system that exhibit intelligent behavior. 2. To understand intelligence in order to model it.
  • 5. A Brief History of AI a. 1943: Mc Culloch and pitts propose a model of artificial intelligence. b. 1956 Minsky and Edmonds build first neutral network computer , SNARC
  • 6. The Dartmouth Conference (1956) a. John Mc Carthy organizes a two month workshop for researchers interested in neural networks and the study of intelligence. b. Agreement to adapt a new name for this field of study: Artificial Intelligence
  • 7. 1952-1969 Enthusiasm i. Arthur samuel’s checkers player. ii. Shakey the robot. iii. Lots of work on neural networks.
  • 8. 1966-1974 Reality:- i. AI problems appear to big and complex. ii. Computers are very slow, very expensive and have very little memory ( compared to today)
  • 9. 1969-1979 Knowledge - Based System : i. Birth of expert systems. ii. Idea is to give AI systems lots of information to start with.
  • 10. 1980 – 1988 AI in Industry: i. R1 becomes first successful commercial expert system. ii. Some interesting phone company systems for diagnosing failures of telephone service.
  • 11. 1990s to present :- i. Increases in computational powers (Computers are cheaper , faster , and have tons more memory then they used to) ii. An example of the coolness of speed: computer chess
  • 12. Cool things AI is doing now:- a. Robotics:- b. Machine learning:- c. Language system:- d. Speech systems:- e. Vision systems:-
  • 13. Robotics Robots are the artificial agents acting in real world environment. Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.
  • 14. Machine Learning:- Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed.
  • 15. Language System:- Natural language processing (NLP)is a field of computer science, artificial intelligence concerned with the interactions between computers and human (natural)languages.
  • 16. Speech Recognition:- Speech recognition is the process of extracting text transcriptions or some from of meaning of speech input.
  • 17. Vision Systems:- Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques. Consequently , computer vision is sometimes seen as a part of the artificial intelligence field or computer science as general.