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Artificial Intelligence Training in Hyderabad

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Integrum litera is the training firm in Hyderabad providing Artificial Intelligence Training in Hyderabad.Get familiar with the most trending technologies on the planet through Integrum Litera’s most exclusive and technology-infused certification programs in Data Science, Data Analytics, Machine Learning, Neural Networks, Deep learning, Robotics & Automation technologies. – PowerPoint PPT presentation

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Title: Artificial Intelligence Training in Hyderabad


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
  • 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.

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.

12
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