Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Tanmay approached forecasting as a system design problem. The goal was to produce decision-ready forecasts at portfolio scale ...

Meteorologists use several weather projections, called forecast models, to guide their predictions. Here are a few of their differences.

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

We hear how Nvidia's Earth-2 weather models could revolutionize the future of forecasting.

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...

In September 2024, China launched the CSI A500 Index, which quickly gained popularity among investors. However, the risks faced by investors still need to be effectively mitigated through futures ...