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

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

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

In recent years, network and complexity science has seen a massive surge in models using hypergraphs and simplicial complexes to represent higher-order ...

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

Abstract: Forming an effective project team to rapidly develop new products is a significant challenge that involves selecting project members and assigning them to sub-teams. This study proposes an ...

Announcing a new publication for Acta Materia Medica journal. Traditional Chinese medicine has shown therapeutic potential in treating osteoarthritis (OA) by regulating inflammation and maintaining ...

Terms such as “complexity,” “complex systems,” and “complex adaptive systems” have moved rapidly from specialist research into the vocabularies of policy, sustainability practice, business, and health ...

Chances are you know the climate is changing and that means trouble. But what exactly is driving the climate crisis, how bad are things now and how much worse could they get? To answer those questions ...

Abstract: Multivariate time series forecasting requires modeling both temporal patterns and inter-series relationships. Existing methods combining graph neural networks with frequency analysis ...

Microsoft Corp. is moving closer to delivering on its vision of autonomous artificial intelligence agents that can do more than just chat. Today it has announced the launch of Copilot Cowork, a new ...