The document discusses various topics related to artificial intelligence including neural networks, emotional intelligence, evolutionary computing, expert systems, data mining, image processing, and humanoid robots. It explains how each technique works and how combining them could result in more advanced human-like robots. However, it also notes that robots may not fully replicate human common sense and flexibility. While robots could help reduce human work, their capabilities should be limited to avoid potentially replacing or overriding humans.

2. 1) ARTIFICIAL INTELLIGENCE
2) NEURAL NETWORK
3) EMOTIONAL INTELLIGENCE
4) EVOLUTIONARY COMPUTING
5) EXPERT SYSTEM
6) DATA MINING
7) IMAGE PROCESSING
8) HUMANOID ROBOTS (PROS & CONS)
9) CONCLUSION – OUTCOME & RISKS

3. The term was coined in 1956 by John
Mccarthy at the Massachusetts
Institute of Technology
Artificial Intelligence (AI) is usually
defined as the science of making
computers do things that require
intelligence when done by humans.
It works mainly on Artificial
Neurons & Scientific
Theorems (If – Then
statement Logic)

6. Artificial Emotional
Intelligence is similar to
natural human behavior
with respect to the
environment.
It is implemented in the
system(humanoid robots)
Through programs, vision
cameras and detection
devises.

7. Emotional intelligence is needed in artificial
intelligence because the emotions contributes a
major role on problem solving in human behavior.
The system should be able to respond according to
the human behavior.
In order to achieve that… we need to implement
emotional intelligence onto the system.
For Eg : A person who is feeling pain can do less
amount of work than the person who is physically
fit.

8. evolutionary computing is a kind of problem solving technique by
considering the previously stored solutions of same kind and giving a
new solution for the problem.
In short we can say it uses the concept of inheritance (Parent – Child
Relationship)
The system will be having more
domain knowledge(Expert System) to
respond to the problem

10. An expert
system is a
computer
program that is
designed to
hold the
accumulated
knowledge of
one or more
domain experts.

11. Datamining is something that
retrieves useful information froma
stack of stored information
For Eg: A systemis stored withthe
informationof students academic
record… Particular students data
can be accessed by the use of data
mining

12. Image processing is a concept
in which the input is a image
or photograph and the
output is the information
about the image
If a system should move
with people… it should be
able to recognize the person
for further response

13. If we try to
combine all the
techniques &
processes
discussed before
onto a robot, we
may come up with
new era of
robots which can
perform actions
almost equal to
human brain

15. Ability to simulate human behavior and
cognitive processes
Capture and preserve human expertise
Fast Response. The ability to comprehend
large amounts of data quickly.

16. No “common sense”
Cannot readily deal
with “mixed”
knowledge
May have high
development costs

19. As we watch…. Artificial intelligence was used for like
particular purpose and also it is handled physically by
humans…. But these robots will solve problems by
itself and gives response more easier
It may be the next era … where humans work can be
taken care by these systems which will play a major
role in our luxury life

20. Although we seek for reducing human
effort by implementing human behavior
onto a machine… the machine should not
overcome human race and that should be
limitedto a certain level
There may be chances that it can self
implicate its own ideas at the time when
robots start behaving like humans… which
shouldbe takencare

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to Artificial Intelligence. Addison-Wesley
Anderson, J. and E. Rosenfeld (editors):
Neurocomputing: Foundations of Research. MIT
Press, Cambridge, MA, USA 1988.
Zadeh, Lotfi: ―From Computing with Numbers to
Computing with Words – from Manipulation of
Measurements to Manipulation of Perceptions‖
Plenary Speaker, Proceedings of IEEE
International Workshop on Soft Computing in
Industry. Muroran, Japan 1999