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AI · Theory

Domains of AI

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Theory

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Domains of AI

Classic AI domains: search & planning, knowledge & logic, ML, NLP, computer vision, robotics, speech, expert systems. ML is one domain inside AI, not a synonym. NLP is language. Vision is images. Robotics adds sensors and motors.

Viva map: AI is the umbrella. ML learns from data. DL is ML with deep nets. NLP/vision/robotics apply those tools. Don’t draw a circle that says AI = ChatGPT.

Output — idea / do / check for Domains of AI. Fill those three in the viva.

Exam tip

Umbrella + three domains.

Example

# Domains of AI
print("idea :", "Domains of AI")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Domains of AI. Fill those three in the viva.

Short notes

  • DefAI umbrella: search, logic, ML, NLP, vision, robots.
  • RuleML ⊂ AI. DL ⊂ ML.

Questions

1

Name three AI domains and say what each one works on.

2

Is ML the same as AI? How do you draw the circles?

3

Why is “AI = ChatGPT” a weak map?

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