New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

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.

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 ...

The cost of filling up a vehicle with gasoline plays a major role in how American voters view their commander in chief. A recent study published in American Politics Researchreveals that gasoline ...

The research was supported by the National Science Foundation, State of Minnesota Weather Ready Extension, and Minnesota Pollution Control Agency. The research was done in collaboration with the ...

New research reveals that 'foundation models' trained on vast, general time‑series data may be able to forecast river flows accurately, even in ...

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 ...

The proposed approach reduces computational cost while maintaining high predictive accuracy, making it suitable for large-scale applications JEONBUK-DO, South Korea, March 16, 2026 /PRNewswire/ -- ...

Dao is part of a central group that provides data and machine-learning capabilities to the company. He ensures the data team has the right tools to complete their work. He also aims to make it easy ...

AI infrastructure is transforming public data systems in India, enabling real-time analysis, natural language access and data-driven governance across sectors nationwide.