Fundamentals of AI

What does Artificial Intelligence primarily aim to do?

• Replace all human workers
• Simulate human intelligence in machines
• Build mechanical robots for physical labor
• Create virtual reality games

Answer explanation

AI aims to simulate human intelligence in machines to perform tasks like reasoning, learning, and problem-solving.

Which of the following is NOT considered a backbone component of AI?

• Data
• Computing Power
• Algorithms
• Electricity

Answer explanation

While data, computing power, and algorithms are essential, electricity is a general requirement, not a unique AI component.

Who proposed the concept of the Turing Test?

• John McCarthy
• Marvin Minsky
• Alan Turing
• Geoffrey Hinton

Answer explanation

Alan Turing introduced the Turing Test in 1950 to evaluate machine intelligence.

What was a key feature of early 'expert systems' in the 1960s and 70s?

• General learning abilities
• No need for data
• Focus on specific domains
• Autonomous decision-making

Answer explanation

Expert systems were rule-based AI designed for narrow, specialized tasks (e.g., medical diagnosis).

What major breakthrough allowed AI to recognize images and speech better in the 2000s?

• Expert Systems
• Symbolic AI
• Deep Learning
• Hardcoded Logic

Answer explanation

Deep Learning’s neural networks revolutionized pattern recognition in images and speech.

Which component is considered the 'fuel' for AI learning?

• Code
• Data
• Hardware
• Syntax

Answer explanation

AI models require vast amounts of data to train and improve accuracy.

What is the role of algorithms in AI?

• Provide electricity
• Store data securely
• Instruct AI how to process and learn
• Automate network connections

Answer explanation

Algorithms are step-by-step instructions that enable AI to analyze data and learn.

What is the purpose of Google Cloud AutoML?

• Prevent AI access
• Allow non-coders to build AI models
• Create video games
• Translate languages

Answer explanation

AutoML simplifies AI model creation for users without deep programming knowledge.

Which is an example of a generative AI tool?

• Teachable Machine
• IBM Watson
• DALL·E 2
• Jupyter Notebook

Answer explanation

DALL·E 2 generates images from text prompts, showcasing generative AI capabilities.

Which trend enables data processing on local devices?

• Cloud AI
• Edge AI
• Distributed AI
• Macro AI

Answer explanation

Edge AI processes data on devices (e.g., smartphones) instead of centralized servers.