This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.

1. ARTIFICIAL INTELLIGENCE

2. OVERVIEW:
A.I. Introduction
Branches of A.I
Fields of A.I
Difference

3. A.I INTRODUCTION
• It is the science and engineering of making intelligent
machines, especially intelligent computer programs.
• AI is generally associated with Computer Science, but it has many
important links with other fields such as:
Maths, Psychology, Cognition, Biology and Philosophy, among
many others. Our ability to combine knowledge from all these
fields will ultimately benefit our progress in the quest of creating
an intelligent artificial being.

4. BRANCHES
OF
ARTIFICIAL
NTELLIGENCE

5. SYMBOLIC A.I:
• Symbolic artificial intelligence is the collective name for all methods in artificial
intelligence research that are based on high-level "symbolic" (human-readable)
representations of problems, logic and search.
• Symbolic AI was intended to produce general, human-like
intelligence in a machine, whereas most modern research is
directed at specific sub-problems. Research into general
intelligence is now studied in the sub-field of
Artificial general intelligence.

6. STATISTICAL A.I
:
• Statistical AI advocates deterministic approach in Artificial Intelligence taking
inspiration from mathematics and operation research. critics argue that this
approach looses capability of generalization and hence ultimate aim of Artificial
Intelligence.

7. COMPUTATIONAL INTELLIGENCE
:
• Computational Intelligence aims to solve real world problems that are
computationally expensive or not at all possible to solve by traditional means
(mathematical models)..Common branches of Computational Intelligence are but
not limited to.
• Artificial Neural Networks
• Fuzzy Logic
• Heuristic Search
• Pattern Recognition

8. FIELDS
OF
ARTIFICIAL
INTELLIGENCE

9. Computer science:
 Graphical User Interface
 Automatic Storage management
 Object Oriented Programming
 Data miming
 computer gaming
Telecommunication:
• Automated Online Assistants
• Voice dialing
• Speech Recognization

10. Robotics:
•Assembling Robots
•Welding Robots
•Behavior based robotics
•Dancing Robots
•Robot navigation

11. DAILY LIFE APPLICATIONS
• Home Security
• Bank
• Post office
• Websites
• Digital cameras
• News and publishing
• Financial trades
• Health and medicine
• Games and toys

12. HOW A.I IS DIFFERENT ?
 Non Creative
 Consistency
 Precise
 Multitasking
 Creative
 May Contain Error
 Non Consistent
 Can’t Handle

13. THE DESTINED FUTURE
FORTH