3. What is AI?
How does
th e h u m a n
b ra in w o rk ?
W h a t is
in te llig e n c e ?
How do we
e m u la te th e
h u m a n b ra in ?
How do we
c re a te
in te llig e n c e ?
W h o c a re s ? L e t’s
do som e cool and
u s e fu l s tu ff!
4. Count…...
The branch of computer science concerned
with making computers behave like humans
OR
The ability of a computer or other machine to
perform those activities that are normally
thought to require intelligence.
5. Count…...
There are two situation or implementation of
human quality .
Soft quality
Physical quality
10. Strong A.I.
“Strong” AI claims that a digital computer can
in principle be
programmed to actually be a mind, to be
intelligent, to
understand, perceive, have beliefs, and
exhibit other
cognitive states normally ascribed to human
beings.
11. Weak A.I.
“Weak” AI just claims the digital computer is a
useful tool for
studying intelligence and developing useful
technology.
A running AI program is at most a simulation
of a cognitive
process but is not itself a cognitive process.
14. Branches of A.I
There are six branches of A.I on which we
focus greatly
1. Natural language processing
2. computer system
3. Learning system
4. Robotics
5. Knowledge Engineering
6. Expert System
15. Natural language processing
The goal of NLP is to enable people and
computers to communicate in a natural
(humanly) language rather than in a
computer language.
16. Computer vision
The goal of computer vision research is to
give computers this same powerful facility
for understanding their surrounding.
19. Knowledge engineering
KE is an engineering discipline that involves
integrating knowledge into computer
systems in order to solve complex problems
normally requiring a high level of human
expertise
20. Expert System
An Expert System is a computer program
designed to act as an expert in a particular
domain (area of expertise).
23. Turing Test
Proposed by Alan Turing(1950), a British
Computer scientist.
The test was devised in response to the
question,” Can a computer think ?”.
Result was +ve if interrogator can not tell if
responses are coming from the M/C or
Human.
24.
25. Applications of AI
Military
“Smart bombs”
Guided by remote control camera systems
directed to the intended target
Unmanned drone aircraft
Missiles fly military missions and launch
weapons from a distance
Decoding of enemy secret codes
Rapid translation of foreign language
26. Applications of AI
Science
Development of new drugs
Model clinical studies in animals and humans
Remote controlled surgical procedures
Uses robotics and computer-based optical
systems
Can be performed half-way around the world
Advanced weather modeling
Doppler Radar
Looks at trends and past models to predict
weather patterns
27. Applications of AI
Industrial
Machine vision inspection systems
Cameras and computers are placed on
assembly lines to find defects
Robotic systems
Use computer automation and
mechanical equipment
Take place of humans in manufacturing
of cars
28. Future of AI
The future is really unknown
Researchers seem to disagree on a lot of the
same issues
With the rate at which technology is
improving it is logical to believe AI will
continue to get more and more high degree
complex machine