Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Recent research has shown that using machine learning is an efficient approach to look for these molecules. Though machine ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...