Artificial Intelligence Training in Hyderabad

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ARTIFICIAL INTELLIGENCE
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CONTENTS

• INTRODUCTION
• History
• Applications
• Languages
• FUTURE OF AI
• ADVANTAGES
• DISADVANTAGES
• Conclusion

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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.

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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

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APPLICATIONS OF AI

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

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LANGUAGES USED IN AI

• 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. 

• 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.

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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. 

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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.

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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.

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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

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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.

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