4. Introduction
Artificial intelligence (AI) is the simulation
of human intelligence in machines that are
programmed to think and act like humans.
Learning, reasoning, problem-solving,
perception, and language comprehension
are all examples of cognitive abilities
5. Brief History of A I
1941: First electronic computer (technology finally available )
1956: Term Artificial Intelligence introduced
1960s: Checkers-playing program that was able to play games
with opponents
1980s: Quality Control Systems
2000: First sophisticated walking robot
6. WHY A I?
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. `
7. LIMITATIONS OF HUMAN MIND
Object recognition. People cannot properly
explain how they recognize objects.
Face recognition. Cannot be passed on to
another person by explanation.
Naming of colours. Based on learning, not
on absolute standards.
8. APPLICATIONS OF AI
Expert systems.
Natural Language Processing (NLP).
Speech recognition.
Computer vision.
Robotics.
9.
10. ROBOTICS
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
11. Disadvantages
Self-modifying, when combined with self-replicating, can lead
to dangerous, unexpected results, such as a new and
frequently mutating computer virus.
12. FUTURE
The day is not far when you will just sit back in your cozy little
beds and just command your personal Robot's to entirely do
your ruts . He will be a perfect companion for you. Just enjoy
the Technology.
13. Conclusion
In it’s short existence, AI has increased understanding of the nature of intelligence and
provided an impressive array of application in a wide range of areas. It has sharpened
understanding of human reasoning, and of the nature of intelligence in general. At the same
time, it has revealed the complexity of modeling human reasoning providing new areas and
rich challenges for the future.
