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What is the primary goal of Artificial Intelligence?
To develop machines that can perform physical tasks faster than humans.
To create computer programs that can mimic human intelligence and cognitive functions.
To build supercomputers capable of storing vast amounts of data.
To replace all human jobs with automated systems.
Which of the following is a subfield of Artificial Intelligence focused on enabling computers to 'learn' from data without being explicitly programmed?
Cybernetics
Data Science
Robotics
Machine Learning
Which AI technique involves a computer program exploring a range of possible actions and their outcomes to find the best solution, often seen in games like chess?
Search Algorithms
Computer Vision
Reinforcement Learning
Natural Language Processing Back Next
What is a neural network in the context of Artificial Intelligence?
A series of mathematical equations used to solve complex problems directly.
A computational model inspired by the structure and function of the human brain's neurons.
A physical network of interconnected robots.
A programming language used for AI development.
Which of the following is an ethical concern frequently discussed in relation to AI development and deployment?
The high cost of developing AI systems.
Bias in AI algorithms leading to unfair or discriminatory outcomes.
The difficulty in finding enough data to train AI models.
The potential for AI to become too slow for practical applications.
What does NLP stand for in the context of Artificial Intelligence?
New Learning Paradigm
Natural Language Processing
Neural Logic Programming
Networked Learning Platform
Which type of AI focuses on systems that can adapt and improve their performance over time through experience, rather than just executing predefined rules?
Symbolic AI
Strong AI (or AGI)
Rule-based AI
Adaptive AI
What is the 'Turing Test' designed to assess?
The speed at which an AI can process information.
The security vulnerabilities of an AI system.
An AI's ability to generate realistic images.
A machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
Which of these is a common application of AI in the medical field?
Creating virtual reality environments for gaming.
Automating traffic light control in cities.
Assisting in the diagnosis of diseases through image analysis (e.g., X-rays, MRIs).
Predicting stock market fluctuations.
What distinguishes 'Deep Learning' from general 'Machine Learning'?
Deep Learning is a very old concept, whereas Machine Learning is a modern invention.
Deep Learning models have multiple layers of interconnected nodes (neural networks), enabling them to learn complex patterns from large datasets.
Deep Learning requires explicit programming for every task, unlike Machine Learning.
Deep Learning only uses symbolic logic, while Machine Learning uses statistical methods. Back Done
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