Simulations show tradeoffs as states fight over water ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

A new study published in the Journal of Remote Sensing demonstrates a practical advance in satellite-based soil moisture ...

Growing up in Nepal’s flood-prone Terai region, Southern Illinois University graduate Dewasis Dahal learned that water can be both a lifeline and a threat.

AI promises to transform modern crop breeding, helping develop more resilient, nutritious, and higher-yielding crops with unprecedented pace—though barriers remain. CSIS experts unpack the benefits ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Abstract: Analyzing the relationship between drug efficacy and sensitivity to mutational profiles is necessary for the effective treatment of complex diseases such as cancer. Particularly, cancerous ...

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...