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ARTIFICIAL
INTELLIGENCE
INTRODUCTION
• At its simplest form, artificial intelligence is a field,
which combines computer science and robust
datasets, to enable problem-solving. It also
encompasses sub-fields of machine learning and deep
learning, which are frequently mentioned in conjunction
with artificial intelligence. These disciplines are
comprised of AI algorithms which seek to create expert
systems which make predictions or classifications
based on input data.
Types of artificial intelligence—
weak AI vs. strong AI
Weak AI
• Weak AI—also called Narrow AI or
Artificial Narrow Intelligence (ANI)—is
AI trained and focused to perform
specific tasks. Weak AI drives most of
the AI that surrounds us today. ‘
• Narrow’ might be a more accurate
descriptor for this type of AI as it is
anything but weak; it enables some
very robust applications, such as
Apple's Siri, Amazon's Alexa, IBM
watson, and autonomous vehicles.
Strong AI
• Strong AI is made up of Artificial General
Intelligence (AGI) and Artificial Super
Intelligence (ASI). Artificial general
intelligence (AGI), or general AI, is a
theoretical form of AI where a machine
would have an intelligence equaled to
humans; it would have a self-aware
consciousness that has the ability to solve
problems, learn, and plan for the future.
Artificial Super Intelligence (ASI)—also
known as superintelligence
Examples of
artificial
intelligence
E-Payments
Having to run to the bank for
every transaction is an
enormous waste of time and AI
is playing a part in why you
haven’t been to a bank branch
in 5 years. Banks are now
leveraging artificial intelligence
to facilitate customers by
simplifying payment processes.
Facial
Detection and
Recognition
Using virtual filters on our
faces when taking pictures
and using face ID for
unlocking our phones are
two examples of artificial
intelligence that are now
part of our daily lives.
Facial recognition is also
used surveillance and
security.
Social Media

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ARTIFICIAL INTELLIGENCE

  • 2. INTRODUCTION • At its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms which seek to create expert systems which make predictions or classifications based on input data.
  • 3. Types of artificial intelligence— weak AI vs. strong AI Weak AI • Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. Weak AI drives most of the AI that surrounds us today. ‘ • Narrow’ might be a more accurate descriptor for this type of AI as it is anything but weak; it enables some very robust applications, such as Apple's Siri, Amazon's Alexa, IBM watson, and autonomous vehicles. Strong AI • Strong AI is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Artificial general intelligence (AGI), or general AI, is a theoretical form of AI where a machine would have an intelligence equaled to humans; it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future. Artificial Super Intelligence (ASI)—also known as superintelligence
  • 4.
  • 5.
  • 6. Examples of artificial intelligence E-Payments Having to run to the bank for every transaction is an enormous waste of time and AI is playing a part in why you haven’t been to a bank branch in 5 years. Banks are now leveraging artificial intelligence to facilitate customers by simplifying payment processes.
  • 7. Facial Detection and Recognition Using virtual filters on our faces when taking pictures and using face ID for unlocking our phones are two examples of artificial intelligence that are now part of our daily lives. Facial recognition is also used surveillance and security.