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.

Google Cloud is bridging a critical gap for enterprises by introducing a gRPC transport package for the Model Context Protocol (MCP), enhancing integration for businesses already using gRPC. This game ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

Unlike regular search engines, AI browsers suffer from algorithmic inconsistency due to their black-box nature — and even they can’t say why certain sources appear over others in a response. Thus, ...

Abstract: Graph Neural Networks (GNNs) have demonstrated significant potential in Human Activity Recognition (HAR) by modeling topological relationships in sensor data. However, traditional GNNs ...

A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge ...

Abstract: Knowledge graph completion (KGC) methods aim to predict missing links by learning from existing facts in a knowledge graph. Different from KGC, Temporal Knowledge Graph Completion (TKGC) ...