I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

NYSE's deployment of Redpanda's data streaming platform achieved 4-5x performance gains over Java-based Kafka, exposing critical limitations that affect enterprise AI scaling and real-time ...

The new API features will help enterprises build autonomous, multimodal voice agents with remote tool access, PBX integration, and enhanced context awareness.

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

A little bit about RelationalAI — we are a relational knowledge graph, hence the word “relational” in our name. It’s a knowledge graph that is brought directly to the data cloud.

When AI operates on outdated information, the consequences can be serious, especially in healthcare.

A federal judge has temporarily blocked the Department of Health and Human Services (HHS) from sharing the personal data of Medicaid enrollees with immigration officials. District Judge Vince… ...

We recently discussed the legal developments related to fair use in AI training. Through a bipartisan bill titled the AI Accountability and Personal Data Protection Act (the “Bill ...