Artificial Intelligence Learning

nounverified·updated May 18, 2026

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The ingestion of a corpus, application of semantic mapping, and relevant ontology of structured and/or unstructured data that yields inference and correlation leading to the creation of useful conclusive or predictive capabilities in a given knowledge domain. Strong AI learning also includes the capability of creating unique hypotheses, attributing data relevance, processing data relationships, and updating its own lines of inquiry to further the usefulness of its purpose.

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IEEE Guide for Terms and Concepts in Intelligent Process Automation1 senseview framework →

§1: The ingestion of a corpus, application of semantic mapping, and relevant ontology of structured and/or unstructured data that yields inference and correlation leading to the creation of useful conclusive or predictive capabilities in a given knowledge domain. Strong AI learning also includes the capability of creating unique hypotheses, attributing data relevance, processing data relationships, and updating its own lines of inquiry to further the usefulness of its purpose.