Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

Overview:  Explains algorithms in simple language with everyday examples anyone can understand.Covers major algorithm types, ...

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

Governments use algorithms to select, advise or profile citizens, and to assess risks. But how do you know whether such an algorithm is fair? The Dutch standards body NEN has published the NTA for ...

Abstract: Graph-based vertical federated learning (GVFL) enables an active party who owns a labeled graph to collaborate with passive parties who possess additional node features and edges to improve ...

Tracing product flow Analyzing supplier dependencies Tracking supplier risks and dependency chains Understanding APIs (Active Pharmaceutical Ingredient) dependencies ...

Abstract: This paper addresses the pressing need for effective k-tips decomposition in dynamic bipartite graphs, a crucial aspect of real-time applications that analyze and mine binary relationship ...