Machine learning is speeding up predictions, but the technology still needs to be fed solid science from experts.

A recent study has introduced a new machine learning model aimed at improving the accuracy of renewable energy forecasting. Published in March 2021 under the title An Efficient Supervised Machine ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges owing to climate change, urbanization, improper ...

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 ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows ...

In the life sciences and pharmaceutical sector, cost forecasting has long been treated as a backward-looking exercise, ...

Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

Impact Analytics®, the AI-native leader in retail planning and inventory optimization, today announced its inclusion as a Representative Vendor in two Gartner® research reports: the 2026 Gartner ...