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1. ARTIFICIAL INTELLIGENCE

2. CONTENTS
⮚ INTRODUCTION
⮚ History
⮚ Applications
⮚ Languages
⮚ FUTURE OF AI
⮚ ADVANTAGES
⮚ DISADVANTAGES
⮚ Conclusion

3. INTRODUCTION OF AI
Artificial intelligence is the creation of Intelligent
machines that work and react like humans.
Artificial Intelligence becomes the important part
of our daily life. Using the machine for the work
speed up your process of doing work and give you
an accurate result. It is also a field of study which
tries to make computers smart. In general use,
the term Artificial Intelligence means a machine
which mimics human cognition.

4. HISTORY
• IN 1950 English Mathematician Alan Turing wrote a
landmark paper titled “Computer 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”

5. APPLICATIONS OF AI
• E-Commerce
• Robotics
• Technology
• Higher Education
• Healthcare
• Manufacturing
• Retail Sector
• Self-Driving cars
• Business Marketing
• Banking and finance
• Telecommunications
• Stock Trading

6. LANGUAGES USED IN AI
Python:
Python is considered to be in the first place in
the list of all AI development languages due to
the simplicity. The syntaxes belonging to python
are very simple and can be easily learnt. Python
takes short development time in comparison to
other languages like Java, C++ or Ruby.
R:
R is one of the most effective language and
environment for analyzing and manipulating the
data for statistical purposes. Using R, we can
easily produce well-designed publication-
quality plot, including mathematical symbols
and formulae where needed.

7. LANGUAGES USED IN AI
LISP:
Lisp is one of the oldest and the most
suited languages for the development in AI.
It was invented by John McCarthy, the
father of Artificial Intelligence in 1958. It
has the capability of processing the
symbolic information effectively.
Prolog:
This language stays alongside Lisp when we
talk about development in AI field. The features
provided by it include efficient pattern
matching, tree-based data structuring and
automatic backtracking.

8. FUTURE OF AI
● Artificial intelligence is developing faster
than you think, and speeding up exponentially
● You use artificial intelligence all day, every
day
● Robots are definitely going to take your job
● A lot of smart people think developing
artificial intelligence to human level is a
dangerous thing to do
● Once artificial intelligence gets smarter than
humans, we've got very little chance of
understanding it.

9. ADVANTAGES OF AI
• AI would have a low error rate compared to humans, if coded properly. They would have
incredible precision, accuracy, and speed.
• More powerful and more useful computers
• New and improved interfaces
• Solving new problems
• Better handling of information
• Replace humans in repetitive, tedious tasks and in many laborious places of work.
• Can detect fraud in card-based systems, and possibly other systems in the future.
• Organized and manages records.

10. DISADVANTAGES OF
AI
• Can cost a lot of money and time to build, rebuild, and repair. Robotic repair can occur to
reduce time and humans needing to fix it, but that'll cost more money and resources.
• Storage is expansive, but access and retrieval may not lead to connections in memory as well
as humans could.
• Machines can easily lead to destruction, if put in the wrong hands. That is, at least a fear of
many humans.
• Difficulty with software Development

11. CONCLUSION
AI is at the center of a new enterprise to build computational models of
intelligence. The main assumption is that intelligence (human or
otherwise) can be represented in terms of symbol structures and symbolic
operations which can be programmed in a digital computer.