Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...