It is about the Artificial Intelligence

2. Presented By : Siddhesh Aniruddha
Jadhav
Class : BSc II ( Sem III )
Roll No.: B027

3. Contents
 INTRODUCTION TO A.I.
 EVOLUTION OF A.I.
 IMPORTANCE OF A.I.
 APPLICATIONS OF A.I.
 CONCLUSIONS ON A.I.

4. INTRODUCTION
Artificial Intelligence is a branch of Science which deals
with helping machines in a human-like fachion.
In short it can be described as:
Simple things turn out to be the hardest to
automate:
1.Recognizing a face.
2.Navigating a busy street.
3.Understanding what someone says.

5. HISTORY

6. In 1956 John McCarthy regarded as the
father of AI, Organized a conference to
draw the talent and expertise of others
interested in machine intelligence.

7. Why Artificial Intelligence?
Computers are well studied to perform mechanical
computations.
Unlike humans ,computers have trouble understanding
specific situations ,and adapting to new situations.
 Artificial Intelligence aims to improve machine behavior n
tackling complex tasks.

8. APPLICATIONS OF AI

9. ROBOTICS
 Robotics is the study of how to design,build,use,and work with
robots.
 They are used in laboratories , and in situations , which would be
dangerous for humans such as cleaning toxic waste or defusing
bombs.
 Robots are widely used in such industries as automobile
manufacture to perform simple repetitive tasks.
 Many aspects of robotics involve artificial intelligence; robots
may be equipped with the equivalent of human senses such as
vision, touch, and the ability to sense temperature.

10.  Game artificial intelligence refers to techniques used in
computer and video games to produce the illusion of
intelligence in the behavior of non-player characters (NPCs) .
 Types of Games:
Role-Playing Games (RPG)
Action Games
Sports Games
Simulations
Adventure Games
Puzzle Games

11.  The goal of the Natural Language Processing (NLP) group is
to design and build software that will analyze, understand,
and generate languages that humans use naturally.
 NLP drives computer programs that translate text from one
language to another, respond to spoken commands, and
summarize large volumes of text rapidly—even in real
time. There’s a good chance you’ve interacted with NLP in
the form of voice-operated GPS systems, digital assistants,
speech-to-text dictation software, customer service chat-
bots, and other consumer conveniences.

12. The main focus in AI today is getting a computer
to recognize, make senses and recreate in what it
sees and hears.
 Pattern-Recognition-Vision:
Its goal is to get a computer to recognize pictures
so that it can recognize objects in its
surroundings that would be helpful in robotics.
 Pattern-Recognition-Sound:
It wants to achieve a similar goal but is a primary
concern with companies that want to produce a
new means in which a person interacts with a
computer by talking.

13.  A computer intercepts the voice, translates what was said,
and synthetically generate the appropriate words to the
person on the other line.
 The translator needs an advanced voice recognition, natural
language processing and inferencing to extract what was
spoken by the people on phone.

15.  The day is not far when you will just sit back in your cozy
little beds and just command your personal Robot's to
entirely do your work . It will be a perfect companion for
you. Just enjoy the Technology.
 Beyond negotiation,CMU is betting several other AI areas
are going to be hugely important in the near future.
o Self Driving cars.
o Improved Medical Care & Treatment.
o Open up doors to future exploration.
o Etc.

16. • Turing Test :
• Alan Turing, a British mathematician developed a test in
1950 to determine if a program was intelligent:
• It has the following features:
– A human tester was connected to 2 terminals and asked a series
of questions.
– One of the terminals had another human making the responses
and the other used a computer program to make the responses
– If the human tester could not distinguish between the human
responder and the program response then the software was
said to be intelligent.

18. AI is like a two edged sword, at one end
they can solve problems "intelligently" at
another end they pose a problem themselves.