Artificial Intelligence, Areas of Artificial Intelligence, Examples of Artificial Intelligence, Applications of Artificial Intelligence, Data Mining, Robot etc.

1. Presented By
MR. SURAJ KUMAR
Master of Computer Application (MCA)
Mob- 7677308200
Email- suraj0616@gmail.com
LECTURE-3

2. Artificial Intelligence-
Artificial Intelligence or simply AI is an experimental science
being developed with the purpose to understand the
nature of intelligent thought and subsequent action. It is
presented by machines or software (computer).
In today’s context, largely, but of course not exclusively,
Artificial Intelligence is related to Computer.

3. Therefore, study of AI also involves other disciplines
including Psychology, Philosophy, Science, etc.

4. Artificial Intelligence is a developmental science, and does
not come with a complete definition; however, the definition
given by Mr. McCarthy is still popular −
“An attempt will be made to find how to make machines use
language, form abstractions and concepts, solve kinds of
problems now reserved for humans, and improve themselves.
We think that a significant advance can be made in one or
more of these problems if a carefully selected group of
scientists work on it together for a summer.”

5. Examples of AI
Following are a some examples of Artificial Intelligence in
today’s world −
1. Voice recognition by a computer system
2. Image interpretation
3. Face recognition
4. Technology of biometrics
5. Driverless vehicles
6. Communication with machine, etc.

6. Applications of AI
In today’s technological world, AI is being applied in many
different fields.
Application of AI Techniques in Network Intrusion Detection
Intrusion Detection Systems (IDS) protects computer and
communication networks from intruders. Following are the
major areas where Artificial Intelligence is applied −
1. Medical Field
2. Accounting Databases
3. Computer Games
4. Enhancing the human intelligence, etc

7. Areas of AI
Following are the major areas wherein, artificial intelligence
is used −
1. Understanding the language
2. Problem solving
3. Learning and adoptive system
4. Visual perception
5. Robots
6. Modeling
7. Games

8. Data Mining
Data mining is an interdisciplinary branch of computer
science, which involves a complex computing process and
technique to determine the patterns in huge data sets. It is
a computing process that involves various methods along
with machine learning, statistics, and database systems.
Data mining helps in organization large databases.

9. Robot
Robot is an electromechanical technology (machine), which
is programmed in such a way that it can achieve a series of
works without human intervention.
A robot can perform a variety of tasks, as programmed through the computer.