Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed ...

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...

While traditional databases store information in rigid tables, Neo4j treats data as a network of nodes and relationships, a method ...

Built on an integrated end-to-end architecture of Construct-Align-Reason (CAR), LOM enables AI, for the first time, to autonomously construct structured business logic system from raw enterprise data ...

Where all my knowledge actually lives.

AI systems label and score content before ranking. Annotation determines how you’re understood — and whether you compete at all.

If AI is the vehicle, then a “semantic highway” determines how far and how fast it can go. It isn’t the model that makes the biggest difference.

Have you ever gone to sleep with visions of gelatin bubbles dancing in your head? What about information on 70 million financial securities and 40,000 data fields? Marvin Ward knows what both are like ...

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...