Exploring Artificial Intelligence

What does AI stand for?

• Automated Information

• Artificial Intelligence

• Advanced Integration

• Analytical Insight

What year is considered the birth year of AI?

• 1972

• 1965

• 1980

• 1956

Who is known as the father of artificial intelligence?

• Herbert Simon

• John McCarthy

• Marvin Minsky

• Alan Turing

What does the term 'machine learning' refer to?

• A programming language for developing software applications.

• A subset of artificial intelligence that allows systems to learn from data and improve over time.

• A method for creating static websites.

• A type of computer hardware used for data storage.

Which of the following is an application of AI?

• Basic calculator applications

• Data storage solutions

• Virtual assistants like Siri or Alexa

• Weather forecasting

What does 'natural language processing' enable machines to do?

• NLP allows machines to create human languages from scratch.

• NLP helps machines to generate random text without meaning.

• NLP enables machines to physically interact with humans.

• NLP enables machines to understand and process human language.

What is the Turing Test used for?

• To determine if a machine can exhibit human-like intelligence.

• To evaluate a machine's memory capacity.

• To measure a machine's processing speed.

• To assess a machine's ability to perform calculations.

What is the primary goal of AI research?

• To create systems that can replace human workers entirely.

• To enhance human intelligence through direct brain-computer interfaces.

• To develop systems that can perform tasks requiring human intelligence.

• To develop machines that can only perform simple calculations.

What is an example of AI in everyday life?

• Streaming services that recommend shows

• Smart refrigerators that order groceries

• Virtual assistants like Siri or Google Assistant.

• Fitness trackers that monitor heart rate

What is the significance of data in AI?

• Data is only useful for storage purposes.

• Data is essential for training AI models and improving their accuracy.

• Data is irrelevant to AI development.

• Data has no impact on AI performance.