Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Georgia Tech researchers applied their expertise to a national research program that will shape the future of computing.

Machine learning approaches are prevalent in all fields of study, and there is an increasing trend to predict project performance. Therefore, understanding important subjects relevant to project ...

This 3.5-year PhD project offers a vital, cost-effective solution: strengthening these towers through targeted retrofitting using high-performance stainless steel. This material exhibits significantly ...

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 ...

Artificial intelligence (AI) offers a powerful approach to analyze teaching and learning data, which has brought the promising field of AI in education (AIEd) and, particularly, opened new ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...