Artificial intelligence (AI) is defined as making computers do tasks that require intelligence when done by humans. There are two main types of AI: weak AI, where machines act intelligently to accomplish specific tasks, and strong AI, where machines have general human-level intelligence. AI works using artificial neurons and logic-based rules. It has many applications in areas like finance, medicine, manufacturing, customer service, and gaming. While AI provides benefits like speed and accuracy, it also faces limitations such as a lack of common sense and difficulty handling emergencies. The future of AI is uncertain but technology improvements may allow it to become more human-like over time.

1. ByBy
divya bharathidivya bharathi
Divya .SDivya .S
Kiruthika.MsKiruthika.Ms
Madhumitha .PMadhumitha .P
Nivethitha.SNivethitha.S
Pavithra.SPavithra.S

2. ContentContent
• IntroductionIntroduction
• Branches of AIBranches of AI
• Types of AITypes of AI
• Al VS HIAl VS HI
• Applications of AIApplications of AI
• Pros & cons of AIPros & cons of AI
• ConclusionConclusion

3. Introduction
Turing held that a computer was capable in
principle of doing anything that the brain can do, and
his paper “Machinery and Intelligence” set forth a
theory that remains a cornerstone of the science of
artificial intelligence.

4. Alan turing
(1912 -1954)
formulat
ed
Turing
test
IntroductionIntroduction
cont…..cont…..

5. • Artificial Intelligence (AI) is usually defined as the
science of making computers do things that require
intelligence when done by humans.

6. INTELLIGENT AGENTS
Actions
Agent
Sensors
Actuators
?
Environment
Percepts
Intelligent agent is a system that perceives its environment
and takes actions that maximize its chances of success.

7. What is neuralWhat is neural
networking?networking?
 Artificial neural
networks are
composed of
interconnecting
artificial
neurons(programmi
ng constructs that
mimic the
properties of

8. Programming languages forProgramming languages for
a.I.a.I.
 C, C++ and J ava are used t o creat e
int elligent sof t ware.
 Two languages are specif ically designed
f or AI :
 LISPLISP:
-aprogramminglanguagethatmanipulateslists.
 PROLOGPROLOG - (PROGRAMMI NG I N
LOGI C)
-alanguagethatcanbuildadatabaseoffactsandaknowledgebaseofrules.

9. Major Branch Of “AI”
AINATURAL
LANGUAGE
EXPERT
SYSTEM
VISION
SYSTEM
PATTERN
RECOGNITION
ROBOTICS

10. Expert systemExpert system
An expert system is a
comput er program t hat simulat es t he
j udgment and behavior of a human or an
organizat ion t hat has expert knowledge
and experience in a part icular f ield
syst em:

11. RoboticsRobotics
 I t is t he branch of
t echnology t hat deals wit h t he
design, const ruct ion, operat ion, and
applicat ion of robot s. Robot icsare
engineering at t empt s t o duplicat e
t he physical at t ribut es of humans.

12. AI use robotics by mainAI use robotics by main
four operations:four operations:
 Signal processing.
 Measurement Analysis.
 Pattern Recognition.
 Image Understanding.
.
 AI research cont inues in t he area of
machine int elligence ,t hat include
expert syst ems using robot ics.

13. VISION SYSTEMVISION SYSTEM
• A system which
incorporat es
t he hardware
and software necessa
ry t o emulat e
f unct ions of an eye.
• A vision syst em is not
necessarily limit ed t o
t he visible spect rum,
and may also include
int erpret at ion of

14. PATTERN
RECOGNITION
•A pattern is an
object, process or
event
•A class (or cat egory)
is a set of pat t erns
t hat share common
at t ribut e (f eat ures)
usually f rom t he same
inf ormat ion source
•During recognition
(or classification)

15. NATURAL LANGUAGENATURAL LANGUAGE
• Nat ural language processing (NLP) is
t he abilit y of a comput er program t o
understand human speech as it is
spoken. NLP is a component of
art if icial int elligence (AI ).
• Current approaches t o NLP are
based on machine learning , a t ype of
art if icial int elligence t hat examines
and uses pat t erns in dat a t o improve a
program' s own underst anding

16. How Does AI
Works??
Artificial intelligence
works with the help of
• Artificial Neurons
(Artificial Neural
Network)
And
• Scientific theorems(If-
Then Statements,
Logics)

17. EVALUATION OF A.I.
• AI can be evaluated on specific problems such as
small problems in
– chemistry,
– hand-writing recognition and
– game-playing.
• Such tests have been termed as
Subject Matter Expert Turing Tests.

18. OUTCOMES OF AN AI TEST
• Optimal: not possible to perform better.
• Strong Super-Human: performs better than all
humans.
• Super-Human: performs better than most
humans.
• Sub-Human: performs worse than most
humans.

19. TYPES OF AI
Types of
AI
WEEK AI:
STRONG
AI

20. STRONG A.I.
 Principle is that the machines could be made To
think .
 If that is the case, those machines will have the ability
to reason, think and do all functions that a human is
capable of doing.
 But this technology will never be developed or at least it
will take a very long time.

21.  Due to the recent developments in nanotechnology,
Nanobots, can help us fight diseases and also make us
more intelligent, are being designed.
 The development of an Artificial Neural Network,
which can function as a proper human being, is being
looked at as a future application of Strong AI.

22. WEEK AI :
The principle behind Weak AI is simply the fact that
machines can be made to act as if they are
intelligent.
For example, when a human player plays chess
against a computer.

23. HUMAN INTELLIGENCE VS. ARTIFICIAL
INTELLIGENCE

24. Human Intelligence
Human
Intelligence:
• I nt uit ion, Common
sense, J udgment ,
Creat ivit y, Belief s et c.
• The abilit y t o
demonst rat e t heir
int elligence by
communicat ing
Artificial
Intelligence:
• Abilit y t o simulat e
human behavior and
cognit ive processes.
• Capt ure and preserve
human expert ise.
• Raise legal and et hical
Artificial IntelligenceVSVS
PROS

25. • Humans ar e f allible.
• They have limit ed
knowledge bases.
• I nf or mat ion
processing of ser ial
nat ure pr oceed
ver y slowly in t he
br ain as compared t o
comput er s.
Cons
• No “common sense”.
• Cannot readily deal
wit h “mixed”
knowledge.
• May have high
development cost s.
• Fast Response. The
abilit y t o

26. APPLICATION OF ARTIFICIAL
INTELLIGENCE

27. FINANCE
• Banks use artificial intelligence systems to organize
operations, invest in stocks, and manage properties.
In August 2001, robots beat humans in a
simulated financial trading competition.
• Financial institutions have long used
artificial neural network systems to detect charges or
claims outside of the norm, flagging these for human
investigation.

28. HOSPITALS AND MEDICINE
• A medical clinic can use artificial intelligence
systems to organize bed schedules, make a
staff rotation, and provide medical information
and other important tasks.
• Artificial neural networks are used as
clinical decision support systems for
medical diagnosis.
• Computer-aided interpretation of medical images
.

29. HEAVY INDUSTRY
• Robots have become common in many industries.
They are often given jobs that are considered
dangerous to humans.
• Robots have proven effective in jobs that are very
repetitive which may lead to mistakes or accidents
due to a lapse in concentration and other jobs which
humans may find degrading.

30. ONLINE AND TELEPHONE CUSTOMER
SERVICE
• Artificial intelligence is implemented in
Automated Online Assistants that can be seen as avatars
on web pages.
-help enterprises to reduce their operation and
training cost.
A major underlying technology to such systems is
Natural Language Processing.
• Used in answering machines of call centres, such as
speech recognition software to allow computers to handle
first level of customer support, text mining and
natural language processing to allow better customer
handling.

31. AVIATION
• The AOD uses artificial intelligence for surrogate
operators for combat and training simulators, mission
management aids, support systems for tactical
decision making, and post processing of the simulator
data into symbolic summaries.

32. • In 2003, NASA's Dryden Flight Research Center, and
many other companies, created software that could
enable a damaged aircraft to continue flight until a
safe landing zone can be reached.
• The software compensates for all the damaged
components by relying on the undamaged
components.
• The neural network used in the software proved to be
effective and marked a triumph for artificial
intelligence.

33. Over the years AI is getting
exponentially more sophisticated
Now AI’s are able to react with
an “intelligence” that simulates
the computer as a human
AI’s are able to respond to
voice commands
AI IN VIDEO GAMES

34. Ai also depolyed inAi also depolyed in
• Homeland Security, speech and text
recognition, Data Mining, and e-mail spam filtering.
• Applications are also being developed for gesture
recognition (understanding of sign language by
machines), individual voice recognition, global voice
recognition (from a variety of people in a noisy
room), facial expression recognition for interpretation
of emotion and non verbal cues.
• Other applications are robot navigation, obstacle
avoidance, and object recognition.

35. FUTURE OF AIFUTURE OF AI
 The f ut ure is really
unknown
Researchers seem t o
disagree on a lot of t he
same issues
Wit h t he rat e at
which t echnology is
improving it is logical t o
believe AI will cont inue
t o get more and more

36. ADVANTAGE OF AI
 The main advantages of AI is
high speed, great efficiency,
accuracy, make task very easy &
use in robotics
 There are many advantages in
different field areas like medical
communication science, military
application & also in the defense
system.

37.  Limited Ability
 Slow Real Time Response
 Can’t Handle Emergency
Situations
 Difficult code
 High Cost
DRAWBACKS OF A.I

38. CONCLUSION
• Artificial Intelligence is the science and engineering
of making intelligent machines, especially intelligent
computer programs.
• Thus AI is the branch of the science which generally
involves borrowing characteristic from human
intelligence and apply them as algorithms in a
computer.

39. 11/16/14
PERSPECTIVE
For Humans Intelligence is no
more than TAKING a right
decision at right time
And
For Machines Artificial
Intelligence is no more than
CHOOSING a right decision at
right time
Artificial intelligence is the
Second intelligence ever to exist.

40. S

41. S