ARTIFICIAL INTELLIGENCE INTRO

1. ARTIFICIAL
INTELLIGENCE

3. Contents
 Intro to Artificial Intelligence
 History of Artificial Intelligence
 Types of Artificial Intelligence
 Working of Artificial Intelligence
 Applications of Artificial Intelligence
 Pros and cons of Artificial
Intelligence

4. Introduction to Artificial Intelligence
What is AI?
 Artificial intelligence is the ability of a computer
program or a machine to think and learn. It is also a
field of study which tries to make computers
"smart".
OR
 Artificial intelligence is an area of computer science
that emphasizes the creation of intelligent
machines that work and react like humans.

5. Examples
Artificial intelligence help in :
 Speech recognition
 Problem-solving
 Decision making
 Learning
 Planning
 Text recognition
 Intelligent robots
 Assisting, etc.

6. HISTORY TIMELINE OF
ARTIFICIAL INTELLIGENCE

7. 1950 1954 1964 1999
2014
1976 2002 2011
Alan Turing test-
If a machine
tricks human
into thinking it’s
a human then it
has intelligence
John
McCarthy
introduces
the term
Artificial
Intelligence
Joseph
Weizenbaum-
Chatbot capable
of holding
conversation
with human
A chess playing
computer Deep
Blue defeats
chess champion
Garry Kasparov
The first mass-
produced
robotic vacuum
cleaner Roomba
learns to
navigate
homes
Apple integrates
into iPhone
Siri-
intelligent
virtual assistant.
Q &A –
Watson
Sony launches
first robot pet
dog AiBO whose
personality and
skill develop
over time
Amazon launches
Alexa- intelligent
virtual assistant that
completes shopping
task

8. Types Of Artificial Intelligence
There are two main types of Artificial intelligence
 Artificial intelligence Type 1 (Based on capabilities )
Weak AI or Narrow AI
General AI
Super AI
 Artificial intelligence Type 2 (Based on functionalities )
Reactive machines
Limited memory
Theory of mind
Self-Awareness

9. AI Type 1 (Based on capabilities)
 Weak AI OR Narrow AI
 Narrow AI is a type of AI which is able to perform a dedicated task with
intelligence . The most common and currently available AI is Narrow AI in the
world of Artificial Intelligence.
 Examples : Playing chess, self-driving cars, speech recognition, image
recognition, etc.
 General AI
 General AI is a type of intelligence which could perform any intellectual task
with efficiency like a human. The idea behind the general AI to make such a
system which could be smarter and think like a human by its own.

10. Super Artificial Intelligence
 Super AI is a level of Intelligence of Systems at which
machines could surpass human intelligence, and can
perform any task better than human with cognitive
properties. It is an outcome of general AI.

11. AI Type 2 ( Based on Functionalities )
 Reactive machines
 Such AI systems do not store memories or past experiences for future
actions.
 These machines only focus on current scenarios and react on it as per
possible best action.
 IBM's Deep Blue system , Google’s AlphaGo are a few examples of
reactive machines.
 Limited memory
 Limited memory machines can store past experiences or some data
for a short period of time.
 Self-driving cars are one of the best examples of Limited Memory
systems.

12.  Theory of mind
 Theory of Mind AI should understand the human emotions, people,
beliefs, and be able to interact socially like humans.
 This type of AI systems are still not developed
 Self-awareness
 Self-awareness AI is the future of Artificial Intelligence. These
machines will be super intelligent, and will have their own
consciousness, sentiments, and self-awareness.
 These machines will be smarter than human mind.

13. Working of Artificial Intelligence
How does AI work?
 Artificial intelligence uses machine learning to mimic human
intelligence. The computer has to learn how to respond to certain
actions, so it uses algorithms and historical data to create
something called a propensity model.
 The working of artificial Intelligence depends upon the basic
components of AI

14. Basic
Components
of AI
Neural
network
Machine
learning
Deep
learning
Computer
vision
Cognitive
computing
Natural
language
processing

15. Applications of Artificial Intelligence
The applications of AI surrounds the following areas:
 Astronomy
 Healthcare
 Robotics
 Finance
 Gaming
 Data security
 Social media
 Travel
 Transport
 Automotive industry
 Agriculture
 Entertainment
 E-commerce
 Education

16. Pros of Artificial intelligence
 Less Room for Errors
 Right Decision Making
 Implementing AI in Risky Situations
 Can Work Continuously
 Intelligent robots
 Digital Assistants

17. Cons of Artificial Intelligence
 Unemployment
 Can’t replace human
 Costly
 Dependency on machine
 Restricted work
 Experience

18. ANY QUESTIONS