These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Danny O’Brien is vice-president of Guru Communications. The inconvenient truth of the federal government’s bill to bar children under 16 from social media, introduced this month, is that to achieve ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries fast and efficiently, carry citations and lineage on every ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Be careful what you wish for. This idea, often explored in fiction, lies at the center of “Obsession,” Focus Features‘ new horror film from writer/director/editor Curry Barker. The movie follows Bear ...

Neo4j, the graph database from the US-Swedish company of the same name, is used by 76% of the Fortune 100, and its Australian customers include organisations in the healthcare, policing and banking ...

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Abstract: Graph database engines play a pivotal role in efficiently storing and managing graph data across various domains, including bioinformatics, knowledge graphs, and recommender systems. Graph ...