| Branch | Core Focus | Application Examples |
|---|---|---|
| Machine Learning | Algorithms learning from sample data without explicit programming | Fraud detection, spam filtering, recommendation systems |
| Robotics | Machines substituting physical human labor and hazardous tasks | Car assembly lines, vacuum cleaners, space exploration |
| Natural Language Processing | Enabling computers to understand spoken and written human language | Virtual assistants, machine translation, sentiment analysis |
| Expert Systems | Software programs emulating human experts to solve domain problems | Medical diagnosis (MYCIN), financial investment analysis |
When you use it
Use to categorize AI technologies into their specific subfields and match them with real-world applications.
Watch out
Do not treat Machine Learning as conventional programming; it trains on data patterns rather than executing hard-coded step-by-step instructions.
Drafted from Grade 11 Information Communication Technology, pages 28-50, then checked twice before it went up

