The document outlines three types of artificial intelligence: artificial narrow intelligence (ANI), which excels at specific tasks; artificial general intelligence (AGI), which can simulate human behavior and problem-solving; and artificial super intelligence (ASI), a theoretical form of AI that would surpass human intelligence and self-awareness. ANI is already prevalent in applications like weather tracking and gaming, while AGI and ASI remain hypothetical. The content emphasizes the potential implications of achieving AGI and ASI.

1. Types Of Artificial
Intelligence
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2. 1. Artificial Narrow Intelligence
2. Artificial General Intelligence
3. Artificial Super Intelligence
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Table Of Content

3. The goal-oriented form of Artificial
Intelligence, known as narrow
artificial intelligence, is defined as
being better at completing a specific
task, such as tracking weather
updates, creating data science
reports by analyzing raw data,
competing in games like chess, and
more.
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Artificial Narrow Intelligence

4. The hypothetical intelligence of devices is
called Artificial General Intelligence,
occasionally known as Deep AI. It is the idea
that machines can simulate human behavior or
intellect and then learn to utilize that method
to solve different issues. Because Artificial
General Intelligence includes vast knowledge
and cognitive computing capabilities, it may
be considered that it will understand and
analyze from that a human in terms of
performance.
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Artificial General Intelligence

5. Artificial Super Intelligence
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Artificial Super Intelligence is hypothetical
Artificial intelligence, meaning we have not
yet achieved creating it but are familiar with
the consequences if we do. In different words,
Artificial Super Intelligence is the theoretical
AI that reads or understands human behavior
and intelligence and represents the point at
which robots will create good self-awareness
and self-vigilance to outperform human
intelligence and behavioral capability.

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