Blackmores Group is starting to use knowledge graph technology to ground AI tools that could help healthcare professionals ...

Validated AI retrosynthesis, now native to the agent-native chemistry OS—so every proposed route arrives inspectable ...

Abstract: Knowledge representation learning (KRL) aims to encode entities and relationships in various knowledge graphs into low-dimensional continuous vectors. It is popularly used in knowledge graph ...

Abstract: In recent years, the demand for computing resources of AI industry is urgent because of the data explosion, which promoted the construction of computing power networks in the new era for ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Public input identifying over 100 million trail cameras photos of Wisconsin’s animals has transformed science education and ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

Storage-to-data-management firm expands Enterprise Data Cloud at Accelerate 2026 with OneTouch integration and artificial ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...