Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today ...

The next competitive frontier in financial AI is not a better model. It is a better representation of how your organisation actually works. The financial services industry has spent the better part of ...

Abstract: The challenge of knowledge graph construction from unstructured text is a fundamental challenge in knowledge representation, especially in cases of informal text and narrative, such as that ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

What does knowledge mean in an age of AI, deepfakes, and disinformation? When information is everywhere, the real challenge is distinguishing insight from noise. In this episode of The Development ...

Abstract: Knowledge graph reasoning (KGR) aims to infer novel knowledge based on existing facts in knowledge graphs (KGs), playing a crucial role in various cognition intelligence systems across ...

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 ...

Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...

In mathematics, proofs can be written down and shared. In cryptography, when people are trying to avoid revealing their secrets, proofs are not always so simple—but a new result significantly closes ...

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, ...