ARTIFICIAL INTELLIGENCE - INTRODUCTION

 1. What is Artificial Intelligence?

Artificial intelligence (AI) is a set of technologies that enable computers or machines to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyse data etc.

     2. What can AI be used for?

           AI can be used in many fields, including medicine to diagnose diseases, transportation with self-driving cars, and education by providing personalized learning experiences & Voice assistants like Siri & Google Assistant, which understand and respond to your spoken commands.

    3. What is Machine Learning?

Machine Learning is a type of AI where computers learn from data to make decisions or predictions without being specifically programmed to do so. Example, When you watch videos on YouTube, it shows you more videos you might like based on what you watched before. Another Example When you type a message on your phone, it suggests the next word

     4. What is Deep Learning?

Deep learning is a branch of machine learning (ML) and artificial intelligence (AI) that enables computers to learn from large amounts of data by the way humans think and process information. Example: Self-driving cars, Facial recognition

5.  What does AI need to work?

AI needs:

•Data (lots of information)

•Brains (called algorithms)

•Computers (to do the work)

6. What is data?

Data means information. It could be pictures, words, numbers, or videos. AI uses data to learn.

    7. What are AI algorithms?

AI algorithms are sets of rules or instructions that computers follow to solve problems or make decisions.

    8. What is a chatbot?

A chatbot is a computer program that we can chat with. It uses AI to answer your questions like a person would.

     9. Who uses AI?

AI is used by:

•Doctors (to help find diseases)

•Teachers (to help with learning apps)

•Drivers (in smart cars)

•Shoppers (online stores suggest things to buy)

10. Where do we see AI in real life?

•In mobile phones (voice assistants)

•In YouTube (showing videos you like)

•In self-driving cars

•In video games (smart computer players)

 

More About Deep Learning

·         Self-driving cars:

Deep learning algorithms are used for object detection, allowing cars to recognize pedestrians, traffic lights, and other vehicles. 

·         Virtual assistants:

Deep learning models power virtual assistants like Alexa and Siri, enabling them to understand and respond to voice commands. 

·         Facial recognition:

Deep learning algorithms can accurately identify individuals in images and videos, even with variations in lighting, hairstyle, or facial expressions. 

·         Medical imaging:

Deep learning is used to analyze medical images like X-rays and CT scans, helping doctors detect diseases like cancer and identify areas of concern. 

·         Fraud detection:

Deep learning models can analyze transaction data to identify suspicious patterns and prevent fraudulent activity. 

·         Personalized recommendations:

Deep learning algorithms can analyze user data to provide personalized recommendations for products, movies, and other content. 

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