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

Early Learning Partnership Home | World Bank

Multi-Modal Learning: Types, Benefits & Examples | Analytics Steps

Multi-Agent Systems for Discovery and Design|| Multi-Modal LLM for Material Science || Jan 23, 2026 | Syed Izhan khilji

Gemini Robotics 1.5 brings AI agents into the physical world