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Presented by M.Naveed, Noor Hassan and
Zeeshan Haider
Introduction to
Artificial
Intelligence
Artificial Intelligence is the development of
computer systems that are able to perform
tasks that would require human
intelligence.
History of AI
 The journey of AI
started in the 1950s.
 1956 - John
McCarthy coined the
term 'artificial
intelligence' and had
the first AI
conference.
Machine Learning and AI
 A branch of artificial
intelligence (AI) which
focuses on the use of data
and algorithms to imitate
the way that humans learn,
gradually improving its
accuracy.
 Supervised learning
requires a labeled dataset
for training. Unsupervised
learning identifies hidden
data patterns from an
unlabeled dataset, while
Reinforcement learning
does not require data as it
learns by interacting with
the environment.
The Fuel of AI
 The data used for the
training of AI is all the
system knows about
the world and what it
learns from to perform
its tasks.
 The collection of
datasets from various
sources and labeling
them based on their
nature.
 Transforms the data
into a format.
Applications of AI
Robotics
Health
Care
Social
Media
USES OF AI IN OUR DAILY
LIFE
YOUTUBE
YouTube video suggestion
GOOGLE
Google search suggestion
FACEBOOK
Facebook friend suggestion
TYPES OF ARTIFICIAL
INTELLIGENCE
Artificial
Narrow
Intelligence
Artificial Intelligence also known as weak AI
involves applying AI only to specific tool.
Artificial
General
Intelligence
Artificial General Intelligence
also known as strong AI,
involves machine that
possess the ability to perform
human being can.
Artificial
Super
Intelligence
Artificial Super Intelligence is a term referring to a time when
the capability of super computer will super pass humans.
Advantages of AI
 Reduction in human error
 Takes risks instead of humans
 Available 24/7
 Helping in repetitive jobs
 Digital Assistance
 Faster decisions
 Daily applications
 New inventions
Disadvantages of AI
 High costs
 No creativity. A big disadvantage of AI is
that it cannot learn to think outside the
box.
 Unemployment
 Make humans lazy
 No ethics
 Emotionless
 No improvement
THANK YOU!

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Artificial Intelligence and Machine learning.pptx

  • 1. Presented by M.Naveed, Noor Hassan and Zeeshan Haider
  • 2. Introduction to Artificial Intelligence Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence.
  • 3. History of AI  The journey of AI started in the 1950s.  1956 - John McCarthy coined the term 'artificial intelligence' and had the first AI conference.
  • 4. Machine Learning and AI  A branch of artificial intelligence (AI) which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.  Supervised learning requires a labeled dataset for training. Unsupervised learning identifies hidden data patterns from an unlabeled dataset, while Reinforcement learning does not require data as it learns by interacting with the environment.
  • 5. The Fuel of AI  The data used for the training of AI is all the system knows about the world and what it learns from to perform its tasks.  The collection of datasets from various sources and labeling them based on their nature.  Transforms the data into a format.
  • 7. USES OF AI IN OUR DAILY LIFE YOUTUBE YouTube video suggestion GOOGLE Google search suggestion FACEBOOK Facebook friend suggestion
  • 8. TYPES OF ARTIFICIAL INTELLIGENCE Artificial Narrow Intelligence Artificial Intelligence also known as weak AI involves applying AI only to specific tool. Artificial General Intelligence Artificial General Intelligence also known as strong AI, involves machine that possess the ability to perform human being can. Artificial Super Intelligence Artificial Super Intelligence is a term referring to a time when the capability of super computer will super pass humans.
  • 9. Advantages of AI  Reduction in human error  Takes risks instead of humans  Available 24/7  Helping in repetitive jobs  Digital Assistance  Faster decisions  Daily applications  New inventions
  • 10. Disadvantages of AI  High costs  No creativity. A big disadvantage of AI is that it cannot learn to think outside the box.  Unemployment  Make humans lazy  No ethics  Emotionless  No improvement