RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Scientists believe that September is a crucial month for monitoring sea ice health decline.

A study in Risk Sciences examines whether alternative “big data” and the LASSO variable-selection method can strengthen health risk assessment in critical illness insurance. Using insurer application ...

Esri, the global leader in geographic information system (GIS) software, has released Spatial Data Science, a new book thatdemonstrates how spatial scientists and practitioners can add big data into ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...