What is Artificial Intelligence | Basic Introduction to AI | Riya Arora Computer Trainer webberz Amritsar
Riya Arora Computer Trainer webberz Amritsar Meaning of Artificial Intelligence ✔️ Role of computers in AI. ✔️ Everyday examples of AI. ✔️ Importance of AI. ✔️ Beginner-level explanation of AI. From Riya Arora Computer Trainer Amritsar.
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Riya Arora Computer Trainer webberz Amritsar
In this video from Webberz, Riya Arora Computer Trainer explain the basics of Artificial Intelligence (AI) in a simple and student-friendly way. Discover what AI is, how computers use it, real-life applications, and why AI is shaping the future of technology. This session is perfect for school students, beginners, and anyone starting their journey into computer science and AI
Meaning of Artificial Intelligence
✔️ Role of computers in AI
✔️ Everyday examples of AI
✔️ Importance of AI
✔️ Beginner-level explanation of AI
From Riya Arora Computer Trainer webberz Amritsar.
Artificial Intelligence (AI) is a field of computer science that creates systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. Instead of following a strict "recipe" of rules, AI learns to recognize patterns in data to make its own decisions.
Artificial Intelligence (AI) is basically a way of making computers "smart" so they can do things that usually require a human brain
.1. How AI Works :
- Input: You feed it a giant pile of information (Photos, Numbers, or Text).
- Processing: The computer finds the "invisible threads" or patterns connecting that information.
- Output: When you ask a question, it uses those patterns to give you the most likely answer.
2. Two Main Types
- Narrow AI (What we have now): This AI is a "pro" at one specific thing—like playing chess or translating languages—but it can't do anything else.
- General AI (The future/Sci-Fi): This would be an AI that can learn and do anything a human can. It doesn't exist yet.
Why is it Helpful?
AI is great because it never gets tired, doesn't make "human" mistakes (like getting distracted), and can spot patterns in data that are too big for a person to ever see.
