About A.I.

1. Presented by
TEERTHA ROY

3. + =
ARTIFICI
AL
INTELLIG
ENCE
ARTIFICIAL
INTELLIGENCE
INTELLIGENCE: “ The capacity to learn and solve problems”.
ARTIFICIAL INTELLIGENCE: Artificial intelligence is the simulation of
human by machines.
ABILITY OF A.I. : Solve problems, act rationally and act like humans.

4. In 1950, English mathematician Alan
Turning wrote a landmark paper titled
“Computing Machinery and
Intelligence” that asked a question,
“Can machines think?”
Further work came out of a 1956
workshop at Dartmouth sponsored by
John McCarthy. In the proposal for that
workshop, he coined the phrase a
“Study of Artificial intelligence”.

5. FOR SATELLITE FOR AVIATION EDUCATION
FOR
HEALTHCAR
E
FOR
INDUSTRY
FOR
FINANCE
• Analyse satellite image
to identify which area
have the highest poverty.
 Gate allocation for plane
landing and ticket price
determination.
 Companies are
making robots to teach
subjects.
 Solving a variety of
diseases of patients and
using Avatars in place of
patients.
 Robots are very
common to task in
industry.
 Algorithmic trading,
market analysis & data
mining and portfolio
management.

6. Reasoning, Problem solving:
 To develop algorithms that human
use.
 Algorithms might be required
enormous computational resources &
problem goes beyond a certain size.
Knowledge representation:
 To build machine with the capability of
making working assumption and common
sense.

7. Tech fest. Automotive. Healthcare.
Education. Video
games.

8. PROS:
 Less room for errors.
 Right decision making.
 Work in risky situation.
 Can work 24*7.
CONS:
 Expensive to implement.
 Dependency on machine.
 Replaces humans.
 Restricted work.

9. •Future of A.I. is really
unknown.
• Most job will be done
by robots within 30
years, says professor
Moshe vardi of rice
university,
Texas(U.S.A).
•It can make humans
extinct or immortal.
• The optimists hope
that we will one day
invent a super
intelligence that can
solve every problem.

10.  A.I is the centre of a new enterprise to build
computational models of intelligence.
 The main assumption is that intelligence can be
represented in terms of symbol structures and symbolic
operations which can be programmed in a digital
computer.