FARO: Modeling Complex Relationships Between Facts and EventsIn today’s data-rich environment, organizations face unprecedented challenges in managing and deriving meaningful insights from vast…2d ago12d ago1
Published inArtificial Intelligence in Plain EnglishReification in Graph Databases: Benefits and Challenges3d ago13d ago1
Published inArtificial Intelligence in Plain EnglishEvent Graphs: Modeling Reality’s Temporal and Causal Fabric4d ago44d ago4
Published inArtificial Intelligence in Plain EnglishDependent Types: A New Paradigm for Ontologies and Knowledge GraphsIntroductionMar 262Mar 262
F*: The Dependently Typed Programming Language for Software VerificationF* (pronounced “F star”) is a functional programming language that combines program verification with practical software development…Mar 23Mar 23
Published inArtificial Intelligence in Plain EnglishTypeDB: A Polymorphic Database for AI Agent Memory and Complex OntologyIn the evolving landscape of artificial intelligence, the way we store and retrieve knowledge is crucial. AI agents need robust memory…Mar 232Mar 232
Published inArtificial Intelligence in Plain EnglishConcept Graphs on Event “Steroids” for AI MemoryArtificial intelligence requires sophisticated memory structures to effectively represent knowledge and relationships. Traditional…Mar 144Mar 144
Published inArtificial Intelligence in Plain EnglishIs Data Unstructured? Construction of Graphs from ConversationsIn recent years, there has been a proliferation of articles advocating for the construction of knowledge graphs from unstructured data…Mar 121Mar 121
Published inArtificial Intelligence in Plain EnglishRelations as Nodes: Concept Graphs and Subgraphs for AI Memory ModelsThe Limitations of RDF and TriplesMar 83Mar 83
