Basic AI Questions

What is Artificial Intelligence (AI)?
- Definition and examples of AI applications.
Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning.
- Highlight their interconnections and unique characteristics.
What are the types of AI?
- Explain Narrow AI, General AI, and Super AI.
What is Machine Learning, and how is it related to AI?
- Provide examples of supervised, unsupervised, and reinforcement learning.
What are the main components of an AI system?
- Discuss data, algorithms, and computational power.
What is the Turing Test, and why is it important?
- Explain the test and its role in evaluating machine intelligence.
What are some real-world applications of AI?
- Examples from healthcare, finance, entertainment, and other industries.
What are the key differences between a rule-based system and a learning-based system?
- Highlight examples and their respective advantages.
What are neural networks, and how do they work?
- Provide an overview of layers, weights, and activation functions.
What is Natural Language Processing (NLP)?
- Explain NLP’s components like tokenization, stemming, and named entity recognition.