A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...

The most recent advances in personalized medicine require highly accurate drug syntheses. A significant component of synthesis is verification. This step requires confirming the sequence of amino ...

In this letter, a hybrid translation computation method for the multilevel fast multipole algorithm (MLFMA) is proposed based on machine learning. The hybrid method combines both generalized ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Multiple machine learning methods—including deep learning (DL), random forest (RF), XGBoost, support vector machine (SVM), and least absolute shrinkage and selection operator (LASSO)—were deployed to ...

Machine learning method improves accuracy of inverse protein folding for drug design by University of Sheffield edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...