Researchers affiliated with universities in China and Singapore have devised a technique to make stolen knowledge graph data ...

Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

Open source enters 2026 as core enterprise infrastructure, with growing pressure around sustainability, governance, funding, ...

This work constitutes a major scholarly contribution to information systems design and offers a pragmatic blueprint for retail enterprises seeking competitive advantage in a connected future.

Abstract: Few-shot semantic segmentation (FSS) is of tremendous potential for data-scarce scenarios, particularly in medical segmentation tasks with merely a few labeled data. Most of the existing FSS ...

The rise of AI assistants, or answer engines, establishes a new standard: AI visibility. This is your brand's ability to be ...