This Slides are helpful to those students who want to learn about AI.

1. What is Intelligence
➢The ability to learn, understand and think in a “logical way” about things
➢Intelligence : The ability to gain and apply knowledge and skills
Oxford dictionary
He didn't even have the
intelligence to call for an
ambulance
Intelligence refers to
intellectual ability, which can be
measured in terms of learning,
understanding, reasoning,
analyzing, remembering,
problem-solving and fluent use
of languages ​​etc. It can be
developed through study,
contemplation, experience.

2. Logical Thinking
➢Logical thinking is the process/skill of applying a chain of reasoning to overcome a
problem and reach a conclusion/to a viable solution
➢ A good example of logical thinking in action is the game of chess. Playing chess involves
working through a sequence of individual steps which take you closer to victory. Each
step is an individual problem to be solved – within the framework of a larger game.

3. Logical Thinking
➢ So, what does logical thinking look like in practice?
➢ Logical thinking involves taking the relevant information and organizing it into a
sequence
➢ Then thinking through it in steps
➢ While you can analyze and solve each step in and of itself, together they are part of the
overall structure of the problem
➢ As you move through the steps, you move closer to solving the problem itself

4. Logical Thinking
➢ Maths: Taking the information you are given and working out what to do with it as well as the
steps needed to reach a solution.
➢ Chemistry: Setting up an experiment involves working out what chemicals and apparatus
you need and what steps you need to take to reach a conclusion.
➢ Computing: The algorithms used by computers, smartphones and other electronic devices
are in fact sets of logical instructions created by programmers.
For example, to understand fractions you must first
understand division. To understand simple algebra equations
requires that you understand fractions.

5. Logical Thinking
➢ Geography: In field work, you will need to establish what observations are required to
collect useful data, and how that data needs to be processed to reach valuable findings
➢ Sociology: Social scientists need to know what data collection methods and analysis
techniques are required to reach meaningful conclusions about their research area
➢ History: for example, is full of mysteries to be solved by combining primary and secondary
sources with an understanding of the wider context in which events happened.

6. What is Artificial Intelligence
➢ The field of artificial intelligence, or AI, is concerned with not just understanding but also building
intelligent entities—machines that can compute how to act effectively and safely in a wide variety of
novel situations
What Are The Two Things That Sundar
Pichai Told Will Bring Revolution In Coming
Times?
“According to Google CEO Sundar Pichai,
artificial intelligence and quantum
computing will bring revolution in the
coming 25 years.”
➢ Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are
programmed to think like humans and mimic their actions

7. What is Artificial Intelligence
➢ Artificial Intelligence is a broad
field i.e., different things to
different people
➢ The main objective of Al is
computers to do tasks that
requires human Intelligence

8. What is Artificial Intelligence
People want to automate human Intelligence for the following reasons—
(i) Understand human intelligence better
(ii)Smarter Programs
(iii) Useful techniques for solving difficult problems
Artificial : Made as a copy of something natural
Intelligence : The ability to gain and apply knowledge and skills

9. Intelligence vs Artificial Intelligence
➢ Most work in Al involves studying the problems the world presents to intelligence rather than
studying people or animals
➢ Al researchers are free to use methods that are not observed in people or that involve much more
computing than people can do
Intelligence Artificial Intelligence
1. Natural Programmed by human beings
2. Increases with experience, and also hereditary. Nothing called hereditary but systems do learn
from experience.
3. Highly refined and no electricity from outside
is required to generate output. Rather
knowledge is good for intelligence.
It is in computer system, and we need electrical
energy to get output. Knowledge base is
required to generate output.
4. No one is an expert. We can always get better
solution from another human being.
Expert systems are made which have the
capability of many individual person's
experiences and ideas.
5. Intelligence Increases by supervised or
unsupervised teaching.
We can increase Al's capabilities by other means
apart from supervised and unsupervised
teaching.