slide presentation

2. CONTENTS
 INTRODUCTION
 HISTORY
 APPROACHES
 TOOLS
 EVALUATING PROGRESS
 APPLICATIONS
 ADVANTAGES
 DISADVANTAGES
 FUTURE ASPECTS
 CONCLUSION

3. Artificial + Intelligence
• Intelligence- Capacity to think and solve problems.
• Artifcial Intelligence- Simulation of human intelligence by machine.
a. Ability to solve problems
b. Ability to act like humans
c. Ability to think rationally.

7. Statistical approach

8. Cybernetics and brain stimulation

9. Symbolic artificial
intelligence is the term for
the collection of all methods
in artificial intelligence
research that are based on
high-level "symbolic"
(human-readable)
representations of problems,
logic and search.
John Haugeland gave the
name GOFAI ("Good Old-
Fashioned Artificial
Intelligence") to symbolic AI
in his 1985 book Artificial
Intelligence: The Very Idea,
which explored the
philosophical implications of
artificial intelligence
research.

10. Cognitive simulation is an
approach at computer science and
design to manipulate artificial
intelligence to think, behave and
feel. The importance of this
process is that it differs highly
from previous approaches. CS
takes into account human
performance and error, and our
ability to problem-solve. Straying
from algorithms which can only
calculate a single motive, either
the ability to succeed or fail, CS
takes the human approach to
solving real world problems.

11.  Once search for something with the use of the
AI/SEO technology, the result displayed will
remember a number of considerations like area,
search history, favorite websites, and what other
customers clicked on for the same query.
 Work based on logics and arguments provided to it.
 Probabilistic modelling provides a framework for
understanding what learning is, and has therefore
emerged as one of the principal theoretical and
practical approaches for designing machines that
learn from data acquired through experience.
 Overview. Artificial neural networks (ANNs) are
statistical models directly inspired by, and partially
modeled on biological neural networks. They are
capable of modeling and processing nonlinear
relationships between inputs and outputs in
parallel.

12. EVALUATING PROGRESS IN ARTIFICIAL
INTELLIGENCE
Most intellectual disciplines have standard, unquestioned criteria for what counts as
progress. Artificial intelligence is an exception. It has always borrowed criteria,
approaches, and specific methods from at least six fields:
• 1. Science
2. Engineering
3. Mathematics
4. Philosophy
5. Design
6. Spectacle

14. PLATFORM OF AI

22. Economic impact

27. Conclusion
AI is like two edged sword, on one hand they are able to solve problems intelligently and
makes work more easier whereas on other hand they pose a problem themselves. So its our
duty to handle them properly and with care, the sentence “MAN IS A MACHINE” supports
the fact “MACHINE IS A MAN ” also.

28. THANK YOU