ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA

Presenting By
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Under the guidance of
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OUT LINE
 ABSTRACT
 INTRODUCTION
 WHAT IS AI
 COMPARISON BETWEEN HUMAN INTELLIGENCE AND AI
 ARTIFICAL INTELLIGENCE METHODS
 MOTIVATION
 TECHNOLOGY
 APPLICATIONS
 EXPLOSIVE GROWTH OF AI
 ADVANTAGES
 LIMITATIONS
 CONCLUSION
 REFERENCES

ABSTRACT
Artificial intelligence is the science and engineering of
making intelligent machines, especially intelligent computer
programs. It is related to the similar task of using computers to
understand human intelligence. But AI does not have to confine
itself to methods that are biologically observable.
While no consensual definition of Artificial Intelligence
(AI) exists, AI is broadly characterized as the study of
computations that allow for perception, reason and action.

INTRODUCTION
HISTORY :
 In the early 1950’s Norbert Wiener was one of the first
American observed that the link between human intelligence
and machines.
 In 1950’s Alan Turing published a landmark paper In which
he speculated about the possibility of creating machines with
true intelligence.
 In 1951 , The Gaming in Artificial intelligence was introduced.
 In late 1955 , Newell and Simon developed The Logic Theorist
, considered by many to be the first AI program.
 In 1956 , John MC carthy regarded as the father of Artificial
Intelligence.

WHAT IS AIDEFINITION :
1. Artificial intelligence (AI) is the study of how computer
systems can simulate intelligent processes such as learning,
reasoning, and understanding symbolic information in
context.
2. Computers with the ability to mimic or duplicate the
functions of the human brain.

COMPARISONS BETWEEN
HUMAN INTELLIENCE AND AI
 Human intelligence is analogue as in the form of signals and
artificial intelligence is digital, they majorly works in the form
of numbers.
 Human intelligence is bigger and artificial intelligence as the
name suggest is artificial , little and temporary.
 Human intelligence is reliable where as artificial intelligence is
not.

ARTIFICAL INTELLIGENT
METHODS
AI methods can be divided into two broad categories:
1. Symbolic AI
2. Computational intelligence

1. KNOWELDGE BASED SYSTEMS(KBS):
A KBS can be defined as a computer system capable of giving
advice in a particular domain, utilizing knowledge provided by
human expert.
2. NUERAL NETWORKS(NN):
NNs are biologically inspired systems consisting of a
massively connected network of computational “neurons”
organized in layers.

 At present time, There are two main lines of AI research:
 Biological study:
It deals with the study of humans.
 Psychological study:
It deals with the problems faced by the world.

AI sometimes described in two ways:
 Strong AI:
Strong AI is the where the computing machine are created
with a perfect intelligence that they could solve each and every
problem.
 Weak AI:
Weak AI is the addition of some newest features added to an
existing technology.

MOTIVATION
Why Artificial Intelligence?
 Artificial machines perform simple monotonous tasks
efficiently and reliably, which humans are ill-suited to.
 For more complex problems, things get more difficult... Unlike
humans, computers have trouble understanding specific
situations, and adapting to new situations.

TECHNOLOGY
How does Artificial Intelligence work?
 Over the past five decades, AI research has mostly been
focusing on solving specific problems. Number of solutions
have been devised and improved to do so efficiently and
reliably.
 This explains why the field of Artificial Intelligence is split into
many branches, ranging from Pattern Recognition to Artificial
Life, including Evolutionary Computation and Planning.

APPLICATIONS
FINANCE:
 In August 2001, robots beat humans in a simulated financial
trading competition.
 Some other applications in this section include loan
investigation, ATM design, safe and fast banking etc.

MEDICINE:
 A Medicine clinic can use AI Systems to
organize bed schedules , make a staff
rotations, and provide medical
information.
 AI also application in fields of
cardiology,neurology,sonography,complex
operations of internal organs etc.

HEAVY INDUSTRIES:
 Huge machines involve risk
in their manual maintenance
and working.
 So it becomes necessary part
to have an efficient and safe
operation agent in their
operation.

TELE COMMUNICATIONS:
Many telecommunications companies make
use of heuristic search in the management
of their workforces,
For example BT Group has deployed
heuristic search in a scheduling
application that provides the work
schedules of 20,000 engineers.

MUSIC:
Scientists are trying to make the
computer emulate of the skillful
musicians, compositions,
performance, music theory, sound
processing are some of the major
areas on which research in Music
and Artificial Intelligence are
focusing on.
EX: Orchextra, smart music etc.

ROBOTICS:
 Robots are physical agents that perform
tasks by manipulating the physical World.
 Robots can be put into three main
categories: manipulators , mobile robots and humanoid.
 The base object is the agent who is the “actor”. It is realized in
software. Robots are manufactured as hardware. The connection
between two is that the control of the robot is a software agent that
reads data from the sensors decides to do next and then directs the
effectors to act in the physical world.

ANTIVIRUS:
 Artificial Intelligence (AI) techniques have played increasingly
important role in antivirus detection. At present , some
principal artificial Intelligence techniques applied in antivirus
detection.
 It improves the performance of antivirus detection systems.

GAMING:
 In the earlier days gaming technology was
not brodence physicist Willy
Higginbotham created the first video game
in 1958.
 It was called “Tennis For Two” and was
plan oscilloscope.
 But now AI technology has become vast
and standard has also been increased.
EX: Sudoku , fear, fallout etc.

SOME OTHER
APPLICATIONS
 Movies
 Shipping
 Marketing
 Satellite controls
 Military active control
 Nuclear management

THE EXPLOSIVE GROWTH
OF AI
 Some AI is applicable in almost all fields, they become the
needs of our life. It is the reason behind the explosive growth
of AI.
 The growth can be divided into two parts based on the
application area and what purpose the used, they are as
follows:
 Growth in positive sense
 Growth in negative sense

ADVANTAGES
 Machines will be able to do jobs that require detailed
instructions.
 Mental alertness and decision making capabilities.
 Use robots for heavy construction, military benefits, or
even for personal assistance at private homes.
 There will be less injuries and stress to human beings.
 scientists have been using AI to test theories and notions
about how our brains work

LIMITATIONS
 To date, all the traits of human intelligence have not been
captured and applied together to spawn an intelligent artificial
creature.
 Currently, Artificial Intelligence rather seems to focus on
lucrative(profit) domain specific applications, which do not
necessarily require the full extent of AI capabilities.

CONCLUSION
 AI is to solve majority of the problems or to achieve the
tasks which we humans directly can’t accomplish. It is for
sure that development in this field on computer science
will change the complete scenario of the world.

REFERENCES
 http://WWW.techopedia.com
 http://WWW.slideshare.com
BOOKS:
Semantic Web and Social Networking-Turing, Berners
lee, Godel

ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA

ARTIFICAL INTELLIGENCE BY SAIKIRAN PANJALA

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