Artificial Intelligence

Beginner-friendly guides covering what AI is, how it works, types of AI, and the biggest concepts behind modern artificial intelligence. Start here if you’re new to AI.

Illustration of input data, connected knowledge stores, model and rule modules, and a person reviewing an AI-assisted output.

Cognitive AI Explained: Capabilities, Limits and How It Differs From Generative AI

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A conceptual illustration of combined AI functions and human review. Systems described as cognitive AI can use different combinations of these components. Cognitive AI is a broad industry and research framing for systems that combine capabilities such as perception, language processing, learning, reasoning, memory-like context handling and decision support. It is not a single standardized

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Generative AI transforming a prompt into text, image, audio, video, and code outputs

What Is Generative AI? A Beginner’s Guide

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Generative AI refers to models and systems that produce new outputs—such as text, images, audio, video, or code—from patterns learned during training. The result may be useful or novel-looking, but generation does not guarantee truth, originality, safety, or ownership. Generative AI is part of the broader field of artificial intelligence. Modern generative AI is largely

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Stored facts identify A17 as a book copy; a rule that every book copy is a library item allows an inference engine to derive that A17 is a library item.

Knowledge Representation in AI: A Beginner-Friendly Guide

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Knowledge representation in AI means encoding entities, concepts, relationships, rules and constraints in forms a computer can store, query or reason over. It gives information a defined structure and meaning for a particular task. A library system, for example, might represent books, their authors, individual copies and borrowing rules. Those representations help software answer questions

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