AI knowledge, explained in plain English

Our wiki of plain-English guides to the ideas behind modern AI, from knowledge graphs and ontologies to neuro-symbolic AI. Each guide answers one question, with examples, and links to the guides around it.

Building blocks

How AI systems store and organize what they know.

What is a knowledge graph?

How a knowledge graph stores facts as things and named links, how it differs from a database, and how AI uses it.

What is an ontology in AI?

What an ontology defines, how it differs from a taxonomy and a knowledge graph, and how neuro-symbolic AI reasons with one.

Approaches

Different ways to build AI, and how they fit together.

What is neuro-symbolic AI?

How symbolic AI and neural networks differ, how neuro-symbolic AI combines them, and where it is used today.

About these guides

The ADG Precision team writes these guides. We build the precision control layer between any intent and real-world action, so the questions they answer are the ones we work on every day.