En bref Understanding the Language of Artificial Intelligence: Core Concepts and Foundational Terms Artificial intelligence operates as a language with its own vocabulary, syntax, and semantics. To navigate the field effectively, one must grasp the hierarchy of terms that describe aims, methods, data, and outcomes. At the heart of this language lie three interrelated ideas: …
Résumé: This comprehensive guide unpacks the language of artificial intelligence, translating dense jargon into practical, actionable knowledge for practitioners, decision-makers, and curious readers. Spanning foundational concepts to governance and future trends, the article maps how terms evolve from theory to deployment in real-world settings. Along the way, it highlights the roles of leading players such …
En bref Opening overview The landscape of artificial intelligence is a moving mosaic of terms that encode both capability and constraint. In 2025, the vocabulary extends far beyond the classic trio of AI, ML, and DL. It now includes nuanced phrases such as GenAI, reinforcement learning, variational autoencoders, explainable AI (XAI), and responsible AI. For …