Researchers have developed a machine learning model called DreaMS, which significantly accelerates the analysis of previously unknown molecules. The study is published in Nature Biotechnology.

Charging electric-vehicle batteries in Ithaca's frigid winter can be tough, and freezing temperatures also decrease the ...

Due to the many different types of classifiers available to use, the analysis methods are also equally numerous. In this review, we will be examining specifically machine learning methods that have ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Using machine learning technology ... also contributed to the analysis. One of the clusters, called "REMOTE," affected people living in remote rural or mountainous areas that often rely on ...

Abstract: Based on machine learning (ML) technique, the data-driven power system stability assessment has received significant research interests in recent years. Yet, the ML-based models may be ...

Researcher Arun Vivek Supramanian explores how big data and machine learning are revolutionizing ... and person-centered approach to health care. Deep learning algorithms are changing the world of ...

The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

The Santander US Auto business uses FICO® Platform to enhance the use of machine learning capabilities to support credit risk analysis. FICO Platform enables Santander US Auto to build an ...