Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide.

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Abstract: The advancement of large models has initiated a transformation in the field of time-series forecasting. Both the repurposing of existing large models and the development of large models ...

A new weather forecasting system claims to be 40,000 times faster than current models. It is a sign of the effect of AI on older technologies and may make the US safer. Douglas A. McIntyre, ...

Abstract: Due to the intrinsic complexity of time series forecasting within power systems, artificial intelligence has emerged as a promising pathway for predictive analytics. Although time series ...