The document defines key concepts in artificial intelligence including intelligence, artificial intelligence, weak AI, strong AI, machine learning, and deep learning. It notes that intelligence involves higher level abilities like problem solving and decision making, while artificial intelligence involves developing computer systems that can perform tasks requiring human intelligence like visual perception. Weak AI is narrow and focused on specific situations, while strong AI would allow machines to think and act like humans by learning from experience. Machine learning gives machines the ability to learn without human programming, and deep learning uses neural networks to cluster data and make predictions by attempting to simulate the human brain.

1. Karzan Wakil
Robotics
Ministry of Education
Azmar College for Gifted Students
Class Seven
Week-1: Introduction

2. Definition of Intelligence
 Intelligence is higher level abilities (such as abstract reasoning,
mental representation, problem solving, and decision making),
the ability to learn, emotional knowledge, creativity, and
adaptation to meet the demands of the environment effectively.
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3. Definition of Artificial Intelligence
 Artificial Intelligence is the development of computer systems that
are able to perform tasks that would require human intelligence.
 Examples of these tasks are visual perception, speech recognition,
decision-making, and translation between languages.
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4. Types of AI
Azmar College for Gifted Students
Types of AI
Weak AI Strong AI

5. Types of AI
 Weak AI
Weak AI also called Narrow AI or Artificial Narrow Intelligence
(ANI)Machines with weak Artificial Intelligence are made to
respond to specific situations, but can not think for themselves
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6. Types of AI
 Strong AI
Strong AI is made up of Artificial General Intelligence (AGI) and
Artificial Super Intelligence (ASI).
A machine with strong AI is able to think and act just like a
human, it is able to learn from experience.
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7. Azmar College for Gifted Students
Layers of AI

8. Machine Learning
 Machine learning is an application of AI that gives machines
the ability to learn and improve without the help of humans
or new programming.
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9. Deep Learning
 Deep learning attempts to mimic the human brain — albeit far from
matching its ability—enabling systems to cluster data and make
predictions with incredible accuracy.
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10. Deep Learning
 Deep learning is a subset of machine learning, which is essentially a neural
network with three or more layers. These neural networks attempt to
simulate the behavior of the human brain—albeit far from matching its
ability—allowing it to “learn” from large amounts of data. While a neural
network with a single layer can still make approximate predictions,
additional hidden layers can help to optimize and refine for accuracy.
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11. Azmar College for Gifted Students
AI

12. The End