Question and Answer

1) What do you understand by Artificial Intelligence?
Artificial intelligence is computer science technology that emphasizes creating intelligent machine
that can mimic human behavior. Here Intelligent machines can be defined as the machine that can
behave like a human, think like a human, and also capable of decision making. It is made up of two
words, “Artificial” and “Intelligence,” which means the “man-made thinking ability.”
With artificial intelligence, we do not need to pre-program the machine to perform a task; instead,
we can create a machine with the programmed algorithms, and it can work on its own.

2) Why do we need Artificial Intelligence?
The goal of Artificial intelligence is to create intelligent machines that can mimic human behavior.
We need AI for today’s world to solve complex problems, make our lives more smoothly by
automating the routine work, saving the manpower, and to perform many more other tasks.

3) Give some real-world applications of AI.
There are various real-world applications of AI, and some of them are given below:
Google Search Engine: When we start writing something on the google search engine, we immediately get the relevant recommendations from google, and this is because of different AI technologies.
Ride sharing Applications: Different ride-sharing applications such as Uber uses AI and machine learning to determine the type of ride, minimize the time once the car is hailed by the user, price of the ride, etc.
Spam Filters in Email: The AI is also used for email spam filtering so that you can get the important and relevant emails only in your inbox. As per the studies, Gmail successfully filters 99.9% of spam mails.
Social Networking: Different social networking sites such as Facebook, Instagram, Pinterest, etc., use the AI technology for different purposes such as face recognition and friend suggestions, when you upload a photograph on Facebook, understanding the contextual meaning of an emoji in Instagram, and so on.
Product recommendations: When we search for a product on Amazon, we get the recommendation for similar products, and this is because of different ML algorithms. Similarly, on Netflix, we get personalized recommendations for movies and web series.

4) What are the different domains/Subsets of AI?
AI covers lots of domains or subsets, and some main domains are given below:
Machine Learning
Deep Learning
Neural Network
Expert System
Fuzzy Logic
Natural Language Processing
Robotics
Speech Recognition

5) What are the types of Machine Learning?
Machine Learning can be mainly divided into three types:
Supervised Learning: Supervised learning is a type of Machine learning in which the machine needs external supervision to learn from data. The supervised learning models are trained using the labeled dataset. Regression and Classification are the two main problems that can be solved with Supervised Machine Learning.
Unsupervised Learning: It is a type of machine learning in which the machine does not need any external supervision to learn from the data, hence called unsupervised learning. The unsupervised models can be trained using the unlabelled dataset. These are used to solve the Association and
Clustering problems.
Reinforcement Learning: In Reinforcement learning, an agent interacts with its environment by producing actions, and learn with the help of feedback. The feedback is given to the agent in the form of rewards, such as for each good action, he gets a positive reward, and for each bad action, he gets a negative reward. There is no supervision provided to the agent. Q-Learning algorithm is used in reinforcement learning.

6) What is Deep Learning, and how is it used in real-world?
Deep learning is a subset of Machine learning that mimics the working of the human brain. It is inspired by the human brain cells, called neurons, and works on the concept of neural networks to solve complex real-world problems. It is also known as the deep neural network or deep neural learning. Some real-world applications of deep learning are: Adding different colors to the black&white images
Computer vision
Text generation
Deep-Learning Robots, etc.

7)What is the intelligent agent in AI, and where are they used?
The intelligent agent can be any autonomous entity that perceives its environment through the sensors and act on it using the actuators for achieving its goal.
These Intelligent agents in AI are used in the following applications:
Information Access and Navigations such as Search Engine Repetitive Activities Domain Experts Chatbots, etc.