egrehrege

1. Artificial
Intelligence

2. Contents

3. Introduction :
Every aspect of learning or any other feature of
Intelligence can in principle be so precisely described
that a machine can be made to simulate it. An
attempt will be made to find how to make machines
use language, form abstractions and concepts, solve
kinds of problem now reserved for humans, and
improve themselves.

4. Are there limits to how
intelligent machines can be?
 Intelligence:
“The capacity to learn and solve problems”
 Artificial Intelligence:
◦ Artificial intelligence (AI) is
the intelligence of machines and robots
and the branch of computer science that
aims to create it
 the ability to solve problems
 the ability to act rationally
 the ability to act like humans

5. Philosophy of A.I.
According To Allen Turing
(stated in his Turing Test)–
If a machine while
interacting with a person
convinces him that it’s a
human then the Machine is
said to possess Artificial
Intelligence.

6.  Natural Language Understanding
 Expert Systems
 Planning and Robotics
 Machine Learning
 Game Playing

7.  Artificial neural network.
 Computer vision.
 Pattern Recognition
 Image processing and analysis.
 Natural language processing.

8.  Home Security
 Bank
 Post office
 Websites
 Digital cameras
 News and
publishing
 Financial trades
 Health and
medicine
 Games and toys

9.  IBM’s Watson : One of the most renown A.I
capable of treating cancer and solving problems related to
business, finance and scientific research on accounts of
reasoning.
 Google’s Deep Learning : Like IBM’s
Watson, Google’s Deep Learning is also capable extremely
advanced Machine Learning that results in reasoning.
 IBM’s Deep Blue : Defeated World’s Chess
Champion Garry Kasparov. It has the computational power to
crunch 200 million moves in 1 second.
 Nautilus : A.I developed by University Of Tennessee
capable predicting the future. One such prediction was the
exact location of Osama Bin Laden after his apprehension

10.  "Many thousands of AI applications
are deeply embedded in the
infrastructure of every industry."
 The late 90s and early 21st century, AI
technology became widely used as
elements of larger systems, but the
field is rarely credited for these
successes.

11. How A.I Is Different????????

12. Drawbacks of A.I.
 Limited Ability
 Slow Real Time
Response
 Can’t Handle
Emergency
Situation
 Difficult code
 High Cost

13. :: FUTURE OF A.I. ::
Looking at its features and wide applications we may definitely
stick to Artificial Intelligence . Natural intelligence is limited and
volatile but artificial intelligence is unaware of such boundaries.
Artificial Intelligence can become the key to solve all sort of
modern day problems. Development in this field of Computer
Science will change the world we live in today.
The next era that we are about to usher, will be all about
reasoning and logic behind it. We’ll only to think about a goal to
reach to, as A.I will become the sight for our goals.

14. Thanks Presentedby:
Reshan Faraz
Sanuj Kumar
Vishal Singh