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What is Artificial Intelligence (AI)?
→ Understanding the concept, scope, and definition of AI. -
What are the main types of AI?
→ Explore Narrow AI, General AI, and Super AI. -
How does AI differ from Machine Learning and Deep Learning?
→ Clarify the relationship between these terms.
Hi Pankaj,
As per your question, here are the answers in easy language to help you understand better:
1. What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) means making computers or machines smart so they can think, learn, and do tasks like humans.
Example: When your phone understands your voice or shows you the right videos — that’s AI working!
2. What are the main types of AI?
There are three main types of AI:
Narrow AI:
This is the AI we use today. It can do only one specific task.
Example: Face unlock, voice assistants like Alexa.
General AI:
This type of AI can do many things like a human — think, learn, and make decisions.
(This type is still being developed.)
Super AI:
This is the future type of AI. It would be smarter than humans.
(It does not exist yet.)
3. How does AI differ from Machine Learning and Deep Learning?
Think of it like this:
AI is the big idea — making machines smart.
Machine Learning (ML) is a part of AI, where machines learn from data.
Deep Learning is a type of ML — it uses large data and works like the human brain using something called neural networks.
So it’s like:
└── Machine Learning (ML)
└── Deep Learning