Question 1) – What is Artificial Intelligence (AI)?
Answer – AI is a branch of computer science that stresses and finds a way of creating an intelligent machine that has the ability to work, think and reacts like humans.
Question 2) – What do you think are the areas where AI has a great impact?
Answer – AI has a great influence on numerous areas. At present it is –
- Computing field
- Speech Recognition
- Humanoid robots
- Space and Aeronautics
- Weather forecasting
Question 3) – Which programming languages are preferred for AI?
Answer – Some commonly used programming languages in AI include:
Question 4) – What do you mean by Overfitting and Underfitting algorithms?
- Overfitting and Underfitting are responsible for poor performance.
- Overfitting gives a good performance on the trained data, poor generalization to other data.
- Underfitting gives poor performance on the training data and good generalization to other data
Question 5) – List some AI Applications and Common uses.
Answer – AI-powered tools are applied in various spheres of the economy, including:
- Natural Language Processing
- Sentiment analysis
- Sales prediction
- Self-driving cars
- Facial expression recognition
- Image tagging
Question 6) – What is the difference between Weak AI and Strong AI?
|Weak AI||Strong AI|
|It is a narrow application with a limited scope.||It is a wider application with a more vast scope.|
|This application is good at specific tasks.||This application has an incredible human-level intelligence.|
|It uses supervised and unsupervised learning to process data.||It uses clustering and association to process data.|
|Example: Siri, Alexa.||Example: Advanced Robotics|
Question 7) – What is A* algorithm search?
Answer – When you want to find the best route between two nodes, you will use an A* algorithm search. Its purpose is to traverse a graph or find a path for this purpose.
Question 8) – What is the difference between AI, Machine Learning and Deep Learning?
Question 9) – What is Q-Learning?
Answer – The Q-learning is a Reinforcement Learning algorithm in which an agent tries to learn the optimal policy from its past experiences with the environment. The past experiences of an agent are a sequence of state-action-rewards:
In the above state diagram, the Agent(a0) was in State (s0) and on performing an Action (a0), which resulted in receiving a Reward (r1) and thus being updated to State (s1).
Question 10) – What is the Turing test?
Answer – The Turing test is a method to test a machine’s ability to match the human-level intelligence. A machine is used to challenge human intelligence, and when it passes the test it is considered intelligent. Yet a machine could be viewed as intelligent without sufficiently knowing how to mimic a human.