Concepts of AI Lesson One

What is the goal of Artificial Intelligence?

• To simulate human intelligence

• To create machines that can think independently.
• To develop systems that can only perform simple calculations.
• To replace human workers in all industries.

Answer explanation

AI aims to simulate human-like decision-making and reasoning processes.

Which of the options below is not AI chatbots?

• 
• 
• 
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Which AI technique is used to train a model by exposing it to labeled data?

• Supervised Learning
• Deep Learning
• Unsupervised Learning
• Reinforcement Learning

Answer explanation

Sentimental AI is not a recognized category in AI; the others are established types.

What are the task below can't be done by AI?

• Tasks involving simple calculations.
• Tasks that require data analysis.
• Tasks that follow strict algorithms.
• Tasks requiring human emotions or moral judgment.

Which is the correct expansion of NLP in AI?

• Natural Logic Programming

• Natural Language Programming
• Neural Language Processing
• Natural Language Processing

Answer explanation

NLP involves the interaction between computers and human languages.

What is the term for AI systems improving their performance over time without human intervention?

• Data Science

• Static AI
• Machine Learning

• Automated AI

Answer explanation

Machine learning enables systems to learn and improve from data and experiences.

Which programming language is widely used for AI development?

• Java
• Python
• C++
• Ruby

Answer explanation

Python is popular in AI for its simplicity and extensive libraries like TensorFlow.

Deep learning models are mainly based on ____:

• linear regression
• Neural Networks

• decision trees
• support vector machines

Answer explanation

Neural networks mimic the human brain's structure to process data.

Which of the following is a subfield of AI focused on enabling computers to interpret and process human languages?

• Computer Vision
• Machine Learning
• Robotics
• Natural Language Processing (NLP)

Which type of learning involves AI learning from interactions with its environment?

• Reinforcement Learning
• Deep Learning
• Unsupervised Learning
• Supervised Learning

Answer explanation

Reinforcement learning uses feedback from actions to optimize behavior.