Explore foundational concepts and terminology in artificial intelligence applications and machine learning. This quiz covers essential areas including supervised learning, neural networks, and common use cases in AI.
Which scenario best illustrates supervised learning in AI?
Explanation: Supervised learning involves training a model using labeled examples, such as a photo app learning from labeled images to classify new ones. The chatbot responding randomly does not use learning from data. Measuring temperature and telling time are simple reporting functions, not learning processes.
In AI machine learning, a neural network loosely mimics which of the following?
Explanation: Neural networks are inspired by the structure and function of the human brain's neurons. Hard drives store data but don't process it like neural networks. The solar system and filing cabinets are unrelated to the neural design concept.
Which is a common application of AI in healthcare today?
Explanation: AIs are used in healthcare to analyze images and assist with diagnoses. Encrypting network traffic relates to cybersecurity, social media feeds are media-related, and athletic shoe design is a manufacturing example, not a typical healthcare use.
Which task is most suitable for unsupervised learning in machine learning?
Explanation: Unsupervised learning finds patterns or groups without labeled outcomes, such as customer segmentation. Weather prediction and translation are supervised tasks, while arithmetic does not require learning.
Which device commonly uses AI for speech recognition?
Explanation: Smartphone virtual assistants use AI to recognize and respond to speech. Manual typewriters, kitchen scales, and wristwatches do not include AI or speech recognition capabilities.