Domains of AI — AI Technical Interview Questions & Answers

Domains of AI

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.

Technical Interview Tip: Umbrella + three domains.

Code Examples for Domains of AI

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.

How to Explain Domains of AI to an Interviewer

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

Search / ML / NLP / vision / robotics

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

ML ⊂ AI DL ⊂ ML

Why is “AI = ChatGPT” a weak map?

ChatGPT is one product Search and vision still exist