Art of Novel Signals: Predicting and Forecasting with High Confidence

Description

To develop and demonstrate a predictive/forecasting model that leverages Temporal Knowledge Graph Forecasting using In-Context Learning from novel, multilingual, and multimodal data. The goal is to develop and test a capability that increases the forecasting timeline from days to weeks in advance of an event, while increasing forecasting precision to at least 90%.