Two phrases in particular, though, are often incorrectly used as an alternative to AI: Natural Language Processing (NLP) and Machine Learning (ML).
To clarify the differences between them, here’s a (very) short (and easy-to-remember) summary:
- AI = systems that can do intelligent things
- **NLP = systems that can understand language; NLP is considered a strict subset of AI
- ML = systems that can learn from experience; ML is a strict subset of AI
- NLP with ML = systems that can improve upon their understanding of language(s)