AI in Computer Science

What does AI stand for in computer science?

• Artificial Intelligence

• Automated Inference

• Analog Interface

• Advanced Integration

Which branch of computer science deals with creating intelligent machines?

• Quantum Computing

• Machine Learning

• Robotics

• Artificial Intelligence (AI)

What is the primary goal of artificial intelligence?

• To create robots that can feel emotions

• To develop machines that can think independently

• To simulate human intelligence in machines

• To replace human intelligence with machines

What is the difference between narrow AI and general AI?

• Narrow AI is task-specific, while general AI is versatile and can handle various tasks.

• Narrow AI can handle a wide range of tasks

• General AI is only used in specific industries

• Narrow AI is more advanced than general AI

What is machine learning and how is it related to AI?

• Machine learning is a type of hardware used in AI systems.

• Machine learning is a programming language used to create AI applications.

• Machine learning is a subset of artificial intelligence that focuses on developing algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data.

• Machine learning is a form of human intelligence that is integrated into AI systems.

Explain the concept of neural networks in AI.

• Neural networks in AI are algorithms inspired by the human brain's structure, consisting of interconnected nodes that process information and learn patterns through training with labeled data.

• Neural networks in AI are static systems that do not adapt to new data.

• Neural networks in AI are physical networks of wires and cables.

• Neural networks in AI are based on the principles of quantum mechanics.

What are some ethical concerns surrounding the use of AI?

• Underestimation of AI capabilities

• Bias, lack of transparency, job displacement, invasion of privacy, potential misuse

• Over-reliance on AI

• Lack of innovation

How does natural language processing (NLP) contribute to AI advancements?

• NLP is only used for basic text analysis, not for AI development

• NLP has no impact on AI advancements

• NLP only focuses on written language, not spoken language

• NLP contributes to AI advancements by enabling machines to understand and interact with human language, leading to more sophisticated and effective AI applications.

What role does AI play in autonomous vehicles?

• AI processes data from sensors to navigate and operate the vehicle autonomously.

• AI is responsible for manual control of autonomous vehicles.

• AI has no role in autonomous vehicles.

• AI is only used for entertainment purposes in autonomous vehicles.

How can reinforcement learning be applied in AI systems?

• Reinforcement learning is not applicable in AI systems

• Reinforcement learning is used to train AI models through trial and error, rewarding desired behaviors and penalizing undesired ones to achieve specific goals.

• Reinforcement learning is only used for supervised learning in AI systems

• Reinforcement learning focuses on unsupervised learning in AI systems