There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

The acquisition seems to have occurred in October 2025, as AppleInsider reports. Apple’s motivation for purchasing Kuzu remains a mystery, but graph databases like Kuzu’s could be used in Apple’s ...

Abstract: The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these topics. This ...

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.

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Microsoft has spent three years and billions of dollars trying to make its Copilot the transformative AI layer for knowledge work. Enterprise adoption stalled. Pricing faced pushback. Internal emails ...

GEOsAI is accessible to all fiduciary advisors on Datalign's platform, with paid access available to RIAs outside the Datalign network. To explore how GEOsAI can inform your site selection strategy, ...

The Retail Momentum Index is designed to act as a leading indicator of retail trade activity in the United States.

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Simplify the development of your next GenAI application with GraphRAG-SDK, a specialized toolkit for building Graph Retrieval-Augmented Generation (GraphRAG) systems. It integrates knowledge graphs, ...

SciToolAgent is a powerful agent framework designed to integrate diverse scientific tools with large language models (LLMs) to address the limitations of existing systems in scientific research. By ...

Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...