Data and examples
A system receives information, such as text, images, measurements, or user instructions.
COMPUTER SCIENCE · ARTIFICIAL INTELLIGENCE
How machines
learn patterns.
Artificial intelligence brings together algorithms, data, and computing systems to perform tasks such as recognizing images, understanding language, and making predictions.
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THE BASICS
From examples to outputs.
AI is a broad field. Different systems use different methods, and the result depends on their design, data, and intended task.
Patterns and rules
An algorithm processes inputs. In machine learning, a model adjusts its internal parameters using examples and an objective.
Prediction or generation
The system produces a result, such as a classification, recommendation, forecast, or newly generated content.
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Keep in mind — AI systems can make mistakes. Their outputs should be judged in context, especially when accuracy matters.
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