Building Temporal Intelligence into Knowledge Graphs Most graph systems capture how entities relate, but not when those relationships hold true. In a world of constant change, this missing temporal dimension limits how we understand, query, and trust our data. To make connected data truly intelligent, we need systems that reason not just about what is true, but when it was true and how it evolved. This talk explores how adding temporality transforms knowledge graphs from static structures into l

Explicit knowledge representation and reasoning with Knowledge Graphs: introduction & use case

Multi-agent systems

AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning