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Recap

To understand AI, we need to understand the unique thinking capabilities of human beings.
AI-based computer would be able to make a decision in a given situation like human beings and in
some cases even better.
Some common terms associated with the definition of AI are Intelligence, Learning and
Understanding.
AI is categorised into three categories: Artificial Narrow Intelligence, Artificial General Intelligence
and Artificial Super Intelligence.

Artificial Narrow Intelligence (ANI) has a limited/narrow range of abilities.
Artificial General Intelligence (AGI) has intelligence as par with human beings.
Artificial Super Intelligence (ASI) has intelligence more than human beings.
The domains of AI refer to the primary areas or branches where AI is applied to mimic or augment
human intelligence.
Computer Vision, helps machines recognise objects, people and patterns. It replicates human
sight and the cognitive ability to interpret visual data.
Natural Language Processing teaches computers to talk and understand human languages just as
we do.
Statistical data are used in everyday life for decision-making, predictions and understanding
trends.

Assess Yourself

Choose the correct option.

1. Which of these is an example of Statistical Data application in banking?

a. Fraud detection b. Voice assistants

c. Face recognition d. Health monitoring

2. Which AI domain is commonly used in applications like Google Translate and Siri?

a. Computer Vision b. Statistical Data

c. Natural Language Processing d. Self-driving cars

3. What does NLP stand for?

a. Natural Language Processing b. Near Letter Product

c. Next Letter Principal d. Never Left Product

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