It is all about artificial intelligence

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2. TOPICS Page No.
 What is an Intelligence?.......................3
 What is AI?.......................................5
 Ability to solve problems......................9
 Applications....................................10
 Artificial Neural Network(ANN)................
 Limitations......................................18
 What can AI systems not do yet?............19
 Future of AI Technology.......................20

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4.  There are three kinds of Intelligence:
1.One kind understands for it self,
2.Another appreciates what others can
understand,
3.Third understands neither for itself nor
through others.
 Intelligence relates to task involving higher
mental processes.
 E.g.- Creativity,Solving problems,Pattern
recognition,Classification,Learning,
Language Processing,etc.
 Intelligent machine is a system with
intelligence which is respected to behave as
intelligently as human.
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5.  The term ‘Artificial Intelligence’ was first
coined by McCarthy in 1956.
 AI is the branch of computer science and
engineering of making intelligent machines
especially intelligent computer programs.
 AI also includes the fields like
Mathematics,Psychology,Philosophy,Biology,
Linguistics,etc.
 According to Philosophy,it attempts to define
the meaning of either Artificial or
Intelligence.
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7.  AI is the study of mental facilities
through the use of computational models.
 Elaine Rich and Kevin Knight said that AI is
the study of how to make computers do
things at which at the moment,people do
better.
 AI is a system with intelligence which is
expected to behave as intelligently as
HUMAN.
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8.  Searching technics to solve a problem:
1.Breadth-First Search
2.Depth-First Search
3.Heuristic Search
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9.  AI systems are in everyday use for identifying
credit card fraud , for advising doctors , for
recognizing speech and in helping complex
planning task.
 Contents:
• Planning
• Pattern Recognition
• Ontology
• Robotics
• Epistemology
• Artificial Life
• Artificial Neural Network
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11. PLANNING:
• Planning Programs start with general
facts about the world and facts about
particular situation and statement of a
goal.
PATTERN RECOGNITION:
• Make senses in what it sees and hears.
• The two major divisors of pattern
recognition are (i)vision and (ii)sound.
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12.  Pattern Recognize vision:
• It’s goal is to get a computer to recognize
pictures so that it can recognize objects in its
surrounding that would be helpful in robotics.
 Pattern Recognize Sound:
• Its goal is to recognize sound which is helpful to
produce a new technologies in which a person
can interact with a computer by talking.
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13.  ONTOLOGY:
• Ontology is the study of what objects are
and what are they made of.
• It is a science or a study of being: specially a
branch of metaphysics.
 ROBOTICS:
• Robotics is the study of how to design, built,
use and work with robots.
• Robots are mechanical devices that can move
and react to sensory input giving them some
degree of autonomous control.
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15.  EPISTEMOLOGY:
• Epistemology is a study of knowledge that
are required for solving problems in the
world.
• It is divided into two categories:
propositional knowledge and personal
knowledge.
• That deals with the branch of philosophy
concerned with the Nature and scope of
knowledge.
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16.  ARTIFICIAL LIFE:
• Artificial life is a field of scientific study that
attempts to model living biological systems
through complex algorithms.
• Main goal of artificial-life research is to
construct living systems out of non-living parts.
 ARTIFICIAL NEURAL NETWORK(ANN):
• Neural Network is a computational system
inspired by the Structure , Processing Method
and Learning Ability of a brain.
• In some cases an ANN is an adaptive system that
changes its structure based on external or internal
information that flows through the network.
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17.  It is composed
of interconnecting
artificial
neurons(means
programming
constructs that
mimic the
properties of
biological
neurons).
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1. Aerospace & Automotive
2. Banking & Credit card activity checking
3. Defense
4. Electronics & Entertainment
5. Financial & Insurance
6. Industrial & Manufacturing
7. Medical
8. Oil & Gas
9. Securities
10.Transportation

20.  AI is used at the following fields::
• Medicines
• Artificial Nose
• Military
• Game AI
• Natural Language Processing(NLP)
• Expert Systems
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Use of AI

21. • In computer vision,systems are capable of
face recognition.
• In Natural language processing,there are
systems which are capable of simple
machine translation.
• Today’s Expert systems can carry out
medical diagnosis in a narrow domain.
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22. • Understand natural language robustly. e.g.,
read and understand articles in a
Newspaper.
• Surf the web.
• Interpret an arbitrary visual scene.
• Learn a natural language.
• Construct plans in dynamic real-time
domains.
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23.  A Greater Use of Expert Systems.
 Research assistants.
 The Turing Test.
 A Greater Use of Expert Systems:
 Today Expert System get success as a diagnostic
in medicine and mechanics.
 What kinds of dishes can one make tonight with
the food in the refrigerator? Input the foods into
a cook expert system and find it out.
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• A pet expert system could ask some questions
related to person’s personality so that it can
conclude the types of animals that would be
suited for them.

25. Research Assistant
• The assistant can understand what one is
looking for, which requires natural language
processing.
The turing test
• In 1950,Alan Turing had given this test for
determining whether a machine can
think.
• There are two rooms, A and B. One of the
rooms contains a computer another
contains a human.
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26.  The interrogator is
outside the room
and does not know
which one is a
computer.
 To pass the Turing
test, the machine
has to fool the
interrogator into
believing that it is
human.
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