3. Contents
• Introduction
• Short History of Artificial Intelligence
• Definition of AI
• Why AI.
• Advantages
• Applications
• Languages
• Conclusion..
4. Introduction
• Artificial Intelligence is a branch of
Science which deals with helping
machines finds solutions to complex
problems in a more human-like
fashion.
• This generally involves borrowing
characteristics from human
intelligence, and applying them as
algorithms in a computer friendly
way.
5. Short History of Artificial Intelligence
• In 1950 English mathematician Alan Turing
wrote a landmark paper titled “computing
Machinery and intelligence” that asked the
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”
generally He is called as “father of AI”
6. Definition of AI
• Artificial Intelligence(AI) is the intelligence
of machines and the branch of computer
science that aims to create it.
• (Or) Artificial intelligence is the science and
engineering of making intelligent machines.
• It is the science and engineering of making
intelligent machines, especially intelligent
computer programs. It is related to the
similar task of using computers to
understand human intelligence.
7. Why AI
• Computers are fundamentally well
suited to performing mechanical
computations, using fixed
programmed rules. This allows
artificial machines to perform simple
monotonous tasks efficiently and
reliably, which humans are ill-suited
to.
8. Advantages
• It can help improve our way of life
• Machines will be able to do jobs that require
detailed instructions
• Mental alertness and decision making
capabilities
• Use robots for heavy construction, military
benefits, or even for personal assistance at
private homes
• There will be less injuries and stress to human
beings
9. Advantages
• Scientists have been using AI to test theories
and notions about how our brains work
• AI opens up new and exciting avenues for
entertainment possibilities.
• AI also makes interactive electronic games
more fun by making the computer controlled
characters more realistic and human-like.
10.
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18. Applications
• Expert Systems.
• Natural Language Processing (NLP)
• Speech recognition
• Computer vision
• Robotics.
• And many more….
19. • An Expert System is a computer program designed to act as an
expert in a particular domain (area of expertise).
Phases in Expert System
• Expert systems currently are designed to assist experts, not to
replace them, they have been used in medical diagnosis,
chemical analysis, geological explorations etc.
20. • The goal of NLP is to enable people and computers to
communicate in a natural (humanly) language(such as,
English) rather than in a computer language.
21. • The primary interactive method of communication used by
humans is not reading and writing, it is speech.
• The goal of speech recognition research is to allow computers
to understand human speech. So that they can hear our
voices and recognize the words we are speaking.
• It simplifies the process of interactive communication
between people and computers, thus it advances the goal of
NLP.
22.
23. • People generally use vision as their primary means of sensing
their environment, we generally see more than we hear, feel
or smell or taste.
• The goal of Computer Vision research is to give computers
this same powerful facility for understanding their
surrounding. Here A.I helps computer to understand what
they see through attached cameras.
24. • A Robot is a electro-mechanical device that can by
programmed to perform manual tasks or a reprogrammable
multi functional manipulator designed to move materials,
parts, tools, or specialized devices through variable
programmed motions for performance of variety of tasks.
An ‘intelligent’ robot includes some kind of sensory
apparatus that allows it to respond to change in it’s
environment..
26. CONCLUSION
Finally we can say that the Artificial Intelligence (AI) is
the intelligence of machines and the branch of
Computer Science that aims to create it. AI textbooks
define the field as “The Study and Design of Intelligent
Agents” where an intelligent agent is a system that
perceive it’s environment and takes actions that
maximize the chances of it’s success. John McCarthy,
who coined the term in 1955, define it as “The Science
and Engineering of making intelligent Machines”