Open-world fans have plenty to be excited about this year. From vampire RPGs and pirate adventures to survival sandboxes and ...

Everyone who’s anyone in the crazy artificial intelligence world attended the RAISE Summit in Paris this week. Bigger, ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Former Bruins, Canadiens, Predators, Blues and Team USA stars are among the 2026 inductees into the Hockey Hall of Fame. The Hockey Hall of Fame announced its 2026 inductees on Monday. Those who were ...

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your security tools look.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

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

Abstract: Graph signal processing (GSP) deals with the representation, analysis, and processing of structured data, i.e. graph signals that are defined on the vertex set of a generic graph. A crucial ...