AI Quiz

In the universe of Star Trek, how would you describe the process enabling the Enterprise's computer to learn from data and make decisions?

• The process of creating self-aware machines.

• A branch of artificial intelligence that focuses on building systems that learn from and make decisions based on data.

• A technique for creating faster computers.

• The study of how to make machines use less energy.

Answer explanation

Machine Learning is best defined as a branch of artificial intelligence that focuses on building systems that learn from and make decisions based on data.

Which of the following is an example of supervised learning, akin to teaching a new crew member on the Starship Enterprise how to predict anomalies based on past space missions?

• Clustering data points based on their similarity.

• Using a neural network to generate new images.

• Predicting stock prices based on historical data.

• Discovering the structure of data without labels.

Answer explanation

Predicting stock prices based on historical data is an example of supervised learning where the model learns from labeled data to make predictions.

In the context of Starfleet's data analysis missions, what is the primary distinction between supervised and unsupervised learning algorithms?

• Supervised learning algorithms require direct guidance from Starfleet Command.

• Unsupervised learning algorithms are exclusively used in the development of the Federation's artificial intelligence systems.

• Supervised learning involves analyzing data from known sectors of space, while unsupervised learning explores uncharted territories without prior maps.

• There is no significant difference; in the universe of data analysis, they are terms used interchangeably.

Answer explanation

The main difference between supervised and unsupervised learning is that supervised learning uses labeled data, while unsupervised learning uses unlabeled data.

In the context of starship diagnostics, what does the term "overfitting" refer to?

• When the diagnostic model performs well on simulated scenarios but poorly on real space anomalies.

• The process of calibrating the diagnostic model too quickly.

• A situation where the diagnostic model is too simple to accurately predict starship issues.

• When the diagnostic model requires more data to improve its predictive accuracy.

Answer explanation

Overfitting in machine learning refers to when the model performs well on the training data but poorly on unseen data, indicating it has memorized the training data rather than generalized from it.

In the realm of Starfleet's advanced computing, what would best describe a "neural network"?

• A network of starships designed to work together to solve galactic challenges.

• A decision-making tool used exclusively by android officers.

• A computing system inspired by the structure and function of the human brain, aiding in tasks ranging from navigation to medical diagnostics.

• A database system that stores information in a way that mimics human memory, used across Federation archives.

Answer explanation

A neural network in machine learning is a computing system inspired by the structure and function of the human brain, not a network of computers or a decision-making tool exclusively for robotics.