What is the primary goal of Artificial Intelligence (AI)? Mimic human intelligence Replicate physical tasks Solve complex mathematical problems Enhance computer speed

Which programming language is commonly used for AI development? Java Python C++ Ruby

What does the acronym "ML" stand for in the context of AI? Machine Learning Many Languages Mindful Learning Multiple Logics

Which of the following is a type of machine learning algorithm? Algorithmic Learning Supervised Learning Rule-based Learning All of the above

What is the Turing Test used for in AI? Evaluate hardware performance Test for machine intelligence Measure algorithm efficiency Assess natural language processing

Which AI technique is inspired by the structure and function of the human brain? Genetic Algorithms Expert Systems Neural Networks Fuzzy Logic

What does NLP stand for in the context of AI? Natural Language Processing New Logic Programming Neural Language Proficiency Non-linear Programming

Which AI application is used to analyze visual data like images and videos? Speech Recognition Computer Vision Expert Systems Natural Language Processing

What is the purpose of reinforcement learning in AI? Imitate human behavior Learn from experience and feedback Process natural language Analyze statistical patterns

Which company developed the open-source machine learning framework TensorFlow? Microsoft Google IBM Facebook

What does the term "Big Data" refer to in the context of AI? Large-sized computer systems Massive datasets Advanced machine learning models High-speed internet connections

Which of the following is not a subfield of AI? Robotics Biotechnology Machine Learning Expert Systems

What is the role of a chatbot in AI? Speech recognition Generating visual content Simulating conversation Analyzing financial data

Which programming paradigm is commonly associated with AI development? Object-Oriented Programming Functional Programming Procedural Programming Logical Programming

What is the primary function of expert systems in AI? Simulating human expertise Analyzing big data Recognizing speech patterns Generating random outputs

Which type of learning allows AI systems to make decisions without explicit programming? Reinforcement Learning Unsupervised Learning Supervised Learning Semi-Supervised Learning

What is the term for the process of improving the performance of a machine learning model over time? Optimization Calibration Enhancement Iterative Improvement

Which of the following is an example of a narrow AI (Weak AI) application? Autonomous Vehicles General Game Playing Human-level Speech Recognition Siri (Apple's Virtual Assistant)

What is the primary disadvantage of deep learning algorithms? Limited computational power Lack of interpretability Slow training process Inability to handle big data

Which technique involves creating multiple models and combining their predictions for improved accuracy? Bagging Boosting Stacking Ensemble Learning

What is the primary purpose of a genetic algorithm in AI? Optimize search and optimization problems Simulate human conversation Recognize speech patterns Analyze visual data

Which type of learning is characterized by having both labeled and unlabeled data for training? Supervised Learning Semi-Supervised Learning Unsupervised Learning Reinforcement Learning

What is the main challenge in developing explainable AI (XAI)? Lack of computing resources Complexity of algorithms Difficulty in collecting data Inability to process natural language

Which AI application involves the understanding and interpretation of human emotions? Speech Recognition Sentiment Analysis Object Detection Neural Machine Translation

What is the term for the ability of an AI system to improve its performance without human intervention? Autonomous Learning Self-Optimization Continuous Improvement Adaptive Enhancement