Predictive Forecasting Model Using Temporal Knowledge Graphs and Novel Multilingual Data
This opportunity funds development of a high-accuracy forecasting model that uses temporal knowledge graph forecasting combined with in-context learning from new multilingual and multimodal data. The aim is to extend reliable predictions from days to weeks ahead of events while reaching at least 90% forecasting precision. The effort includes building and testing the forecasting capability end …
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